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ALAGENT-HKU/x2strategy
Extract structured strategy specifications from quantitative finance research papers — Agent Skill for GitHub Copilot & Claude Code
History
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283GitHub stars
1star in 7 days
1skill in this repository
0commits in 30 days
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Individual skills in this repository
How it works
x2strategy
When your agent uses it
ALAGENT X2Strategy: any research input (PDF paper, Markdown draft, DOCX report, text notes, or keyword search) → structured strategy specification → executable Backtrader code → backtest → diagnosis report. Two core capabilities: (1) paper2spec extracts multi-strategy specs from any document via 5-layer LLM extraction, and (2) spec2code generates validated Backtrader code, runs backtests, and compares against paper metrics. Use this skill whenever the user wants to analyze a quant paper, extract trading strategies, generate strategy code, run a backtest, search for papers, or go end-to-end from any input to executable results. Also triggers on: "look at this paper", "what strategies does this use", "implement this strategy", "search for momentum papers", "turn this into code", or any request about quantitative finance research → implementation. Even if the user doesn't mention "strategy" explicitly — if they provide a finance paper or research document, use this skill.
What it loads into context
Frontmatter
302 tokensAlways available to the agent
SKILL.md
3,910 tokensWhen the skill is activated
Reference documents
46,006 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Capabilities
- Interaction Principles
- First-Run Setup
- Single Workflow
- Output Paths
- Spec2Code Metrics
- Agent Pipeline Flow
- Internal Toolchain
- Configuration
- References
- Limitations
Scripts executed separately
assets/backtrader_template.pyexamples/upsa/universal_portfolio_shrinkage_approximation.pypaper2spec/__init__.pypaper2spec/config.pypaper2spec/extractor.pypaper2spec/llm.pypaper2spec/models.pypaper2spec/operator_pitfall.pypaper2spec/parser.pypaper2spec/pdf_utils.pypaper2spec/prompts.pypaper2spec/render.pypaper2spec/search.pyscripts/analyze.pyscripts/extract.pyscripts/generate_schemas.pyscripts/operator_pitfalls.pyscripts/parse.pyscripts/run_full_tests.shscripts/search.pyscripts/validate_strategy.pyspec2code/__init__.pyspec2code/config.pyspec2code/models.pyspec2code/validator.pytests/__init__.pytests/conftest.pytests/test_e2e.pytests/test_examples.pytests/test_extractor.pytests/test_models.pytests/test_parser.pytests/test_real_e2e.pytests/test_render.pytests/test_spec2code_models.pytests/test_validator.py
Files
.env.exampleasset1,140 bytes.gitignoreasset156 bytes.python-versionasset5 bytesREADME.mddoc19,472 bytesREADME_CN.mddoc17,097 bytesSKILL.mdcore16,912 bytesSKILL.mdcore16,912 bytesSKILL.mdcore16,912 bytesSKILL.mdcore16,912 bytesSKILL.mdcore16,912 bytesassets/alagent_logo.pngasset39,763 bytesassets/alagent_logo.svgasset42,024 bytesassets/backtrader_template.pyruns11,682 bytesassets/wechat_QR.jpgasset248,917 bytesdocs/ARCHITECTURE.mddoc22,908 bytesexamples/upsa/README.mddoc1,110 bytesexamples/upsa/input/P10_Kelly_Malamud_Pourmohammadi_Trojani_2025_NBER.pdfasset1,107,929 bytesexamples/upsa/input/jkp_factors_long.csvasset6,734,430 bytesexamples/upsa/input/jkp_factors_wide.csvasset1,825,347 bytesexamples/upsa/input/sample_instruction.mddoc9,883 bytesexamples/upsa/input/upsa_weights.csvasset1,488,612 bytesexamples/upsa/universal_portfolio_shrinkage_approximation.pyruns18,934 bytesexamples/upsa/upsa_content.jsonasset1,671 bytesexamples/upsa/upsa_content.mddoc1,913 bytesexamples/upsa/upsa_metadata.jsonasset637 bytesexamples/upsa/upsa_operator_pitfall_context.mddoc3,671 bytesexamples/upsa/upsa_review_and_diagnosis.mddoc3,900 bytesexamples/upsa/upsa_spec.jsonasset6,316 bytesexamples/upsa/upsa_spec.mddoc2,181 bytespaper2spec/__init__.pyruns524 bytespaper2spec/config.pyruns2,089 bytespaper2spec/extractor.pyruns20,891 bytespaper2spec/llm.pyruns2,388 bytespaper2spec/models.pyruns10,805 bytespaper2spec/operator_pitfall.pyruns7,937 bytespaper2spec/parser.pyruns11,579 bytespaper2spec/pdf_utils.pyruns2,942 bytespaper2spec/prompts.pyruns24,614 bytespaper2spec/render.pyruns6,426 bytespaper2spec/resources/operator_pitfall_index.mddoc6,688 bytespaper2spec/search.pyruns8,091 bytespyproject.tomlasset1,218 bytesreferences/backtrader_patterns.mddoc16,734 bytesreferences/data_sources.mddoc10,337 bytesreferences/extraction_quality.mddoc17,898 bytesreferences/indicator_cookbook.mddoc7,830 bytesreferences/paper2spec.mddoc7,887 bytesreferences/skill-internals.mddoc10,470 bytesreferences/spec2code.mddoc26,795 bytesrequirements.txtdoc239 bytesschemas/paper_content.schema.jsonasset774 bytesschemas/strategy_spec.schema.jsonasset6,822 bytesscripts/analyze.pyruns8,093 bytesscripts/extract.pyruns4,671 bytesscripts/generate_schemas.pyruns4,245 bytesscripts/operator_pitfalls.pyruns3,204 bytesscripts/parse.pyruns3,095 bytesscripts/run_full_tests.shruns8,462 bytesscripts/search.pyruns2,046 bytesscripts/validate_strategy.pyruns1,162 bytesspec2code/__init__.pyruns446 bytesspec2code/config.pyruns899 bytesspec2code/models.pyruns3,272 bytesspec2code/validator.pyruns5,805 bytestests/__init__.pyruns0 bytestests/conftest.pyruns601 bytestests/test_e2e.pyruns55,311 bytestests/test_examples.pyruns3,174 bytestests/test_extractor.pyruns9,438 bytestests/test_models.pyruns8,032 bytestests/test_parser.pyruns23,215 bytestests/test_real_e2e.pyruns33,115 bytestests/test_render.pyruns6,966 bytestests/test_spec2code_models.pyruns5,197 bytestests/test_validator.pyruns6,705 bytesuv.lockasset767,866 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubSkills included
- x2strategy
Repository facts
- License
- No license detected
- Created
- Mar 26, 2026
- Last pushed
- Jun 12, 2026
- Forks
- 46
- Open issues
- 1
- Project activity
- Slowing
Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 6, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 713 notes
SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedSKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedSKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedSKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedassets/alagent_logo.svg:17Analysis incomplete: physical or joined line exceeds character limitassets/alagent_logo.svg:15Analysis incomplete: physical or joined line exceeds character limitassets/alagent_logo.svg:18Analysis incomplete: physical or joined line exceeds character limitassets/alagent_logo.svg:16Analysis incomplete: physical or joined line exceeds character limitassets/alagent_logo.svg:20Analysis incomplete: physical or joined line exceeds character limitassets/alagent_logo.svg:21Analysis incomplete: physical or joined line exceeds character limitassets/alagent_logo.svg:22Analysis incomplete: physical or joined line exceeds character limitexamples/upsa/input/jkp_factors_long.csv:1Analysis incomplete: file exceeds text byte budgetexamples/upsa/input/jkp_factors_long.csv:10102Analysis incomplete: regex work limit reachedexamples/upsa/input/jkp_factors_wide.csv:1Analysis incomplete: physical or joined line exceeds character limitexamples/upsa/input/jkp_factors_wide.csv:2Analysis incomplete: physical or joined line exceeds character limitexamples/upsa/input/jkp_factors_wide.csv:3Analysis incomplete: physical or joined line exceeds character limitexamples/upsa/input/jkp_factors_wide.csv:4Analysis incomplete: physical or joined line exceeds character limitexamples/upsa/input/jkp_factors_wide.csv:5Analysis incomplete: physical or joined line exceeds character limitexamples/upsa/input/jkp_factors_wide.csv:6Analysis incomplete: physical or joined line exceeds character limitexamples/upsa/input/jkp_factors_wide.csv:7Analysis incomplete: physical or joined line exceeds character limit
- No broad tool permissions
- No dangerous shell commands
- 2,089 network referencesin 11 files: uv.lock:17 tests/test_e2e.py:286 README.md:9 and 8 more
- No hidden or obfuscated text
- No instruction overrides
- 36 executable scriptsin 36 files: assets/backtrader_template.py:1 examples/upsa/universal_portfolio_shrinkage_approximation.py:1 paper2spec/__init__.py:1 and 33 more
- 59 references to secretsin 13 files: README.md:146 SKILL.md:147 scripts/run_full_tests.sh:35 and 10 more
- No requests to vote in Hot
Show all 2,184 signals by file
.env.example
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# ── Optional: Custom OpenAI-compatible endpoint (e.g. local vLLM) ── # OPENAI_API_BASE=http://localhost:8000/v1 - Network accessline 24
# OPENAI_API_BASE=http://localhost:8000/v1
.gitignore
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README.md
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[](https://python.org) - Network accessline 10
[](LICENSE) - Network accessline 11
[](https://agentskills.io/) - Network accessline 12
[]() - Network accessline 13
[](https://docs.litellm.ai/docs/providers) - Network accessline 28
- **✅ Verified Code Generation** — AST validation + Backtrader structural checks + indicator registry, not just "generate and hope". - **📊 Automated Backtesting** — Execute, extract metrics, and diagnose against paper-reported performance. - Network accessline 29
- **📊 Automated Backtesting** — Execute, extract metrics, and diagnose against paper-reported performance. - **🤖 Agent-Native** — Works as an [Agent Skill](https://agentskills.io/) (`/x2strategy`) in VS Code Copilot, Claude Code, or any com - Network accessline 30
- **🤖 Agent-Native** — Works as an [Agent Skill](https://agentskills.io/) (`/x2strategy`) in VS Code Copilot, Claude Code, or any compatible agent. - Network accessline 31
- **💰 ~$0.1 per paper** — DeepSeek-powered. Any [LiteLLM-supported provider](https://docs.litellm.ai/docs/providers) works. - Network accessline 61
[Agent Skills](https://agentskills.io/) is an open standard. Clone into the agent's skill directory — it auto-discovers `SKILL.md` and registers the `/x2strategy` slash command. - Network accessline 80
Install the skill "X2strategy" (patrick-lew/x2strategy) from ClawHub. Skill page: https://clawhub.ai/patrick-lew/x2strategy - Network accessline 81
Skill page: https://clawhub.ai/patrick-lew/x2strategy - Network accessline 94
git clone https://github.com/ALAGENT-HKU/x2strategy.git ~/.copilot/skills/x2strategy - Network accessline 101
git clone https://github.com/ALAGENT-HKU/x2strategy.git ~/.claude/skills/x2strategy - Network accessline 108
git clone https://github.com/ALAGENT-HKU/x2strategy.git .github/skills/x2strategy - Access to secretsline 146
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|:---------|:--------|:------------| | `PAPER2SPEC_LIBRARY_PATH` | `./library` | Output root directory | | `PAPER2SPEC_MODEL` | `openai/gpt-4o-mini` | LLM model ([LiteLLM format](https://docs.litellm.ai/docs/providers)) | - Network accessline 319
| `PAPER2SPEC_LIBRARY_PATH` | `./library` | Output root directory | | `PAPER2SPEC_MODEL` | `openai/gpt-4o-mini` | LLM model ([LiteLLM format](https://docs.litellm.ai/docs/providers)) | | `SPEC2CODE_BACKTEST_TIMEOUT` | `300` | Backtest timeo - Network accessline 320
| `PAPER2SPEC_MODEL` | `openai/gpt-4o-mini` | LLM model ([LiteLLM format](https://docs.litellm.ai/docs/providers)) | - Access to secretsline 322
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git clone https://github.com/ALAGENT-HKU/x2strategy.git && cd x2strategy - Access to secretsline 356
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[Apache-2.0](LICENSE) · Built by **[ALAGENT AI 优彦智能](http://home.alagent.cloud)** — Verifiable & Trustworthy Financial AI - Network accessline 370
<a href="https://home.alagent.cloud">🌐 Website</a> · <a href="https://github.com/ALAGENT-HKU">GitHub</a> · <a href="mailto:contact@alagent.cloud">📧 contact@alagent.cloud</a>
README_CN.md
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- **✅ 可验证的代码生成** — AST 语法校验 + Backtrader 结构检查 + 指标注册表核查，而非"生成然后祈祷"。 - **📊 自动化回测** — 自动执行回测、提取指标，并与论文报告的结果进行对照诊断。 - **🤖 Agent 原生** — 作为 [Agent Skill](https://agentskills.io/) (`/x2strategy`) 运行在 VS Code Copilot、Claude Code 或任何兼容的 Agent 平台。 - Network accessline 21
- **📊 自动化回测** — 自动执行回测、提取指标，并与论文报告的结果进行对照诊断。 - **🤖 Agent 原生** — 作为 [Agent Skill](https://agentskills.io/) (`/x2strategy`) 运行在 VS Code Copilot、Claude Code 或任何兼容的 Agent 平台。 - **💰 每篇论文约 ¥0.7** — 推荐使用 DeepSeek，支持任意 [LiteLLM 兼容模型](https://docs.l - Network accessline 22
- **🤖 Agent 原生** — 作为 [Agent Skill](https://agentskills.io/) (`/x2strategy`) 运行在 VS Code Copilot、Claude Code 或任何兼容的 Agent 平台。 - Network accessline 23
- **💰 每篇论文约 ¥0.7** — 推荐使用 DeepSeek，支持任意 [LiteLLM 兼容模型](https://docs.litellm.ai/docs/providers)。 - Network accessline 53
[Agent Skills](https://agentskills.io/) 是开放标准。Clone 到 Agent 的 skill 目录后，Agent 自动发现 `SKILL.md` 并注册 `/x2strategy` 斜杠命令。 - Network accessline 72
Install the skill "X2strategy" (patrick-lew/x2strategy) from ClawHub. Skill page: https://clawhub.ai/patrick-lew/x2strategy - Network accessline 73
Skill page: https://clawhub.ai/patrick-lew/x2strategy - Network accessline 86
git clone https://github.com/ALAGENT-HKU/x2strategy.git ~/.copilot/skills/x2strategy - Network accessline 93
git clone https://github.com/ALAGENT-HKU/x2strategy.git ~/.claude/skills/x2strategy - Network accessline 100
git clone https://github.com/ALAGENT-HKU/x2strategy.git .github/skills/x2strategy - Access to secretsline 138
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|:---------|:-------|:-----| | `PAPER2SPEC_LIBRARY_PATH` | `./library` | 输出根目录 | | `PAPER2SPEC_MODEL` | `openai/gpt-4o-mini` | LLM 模型（[LiteLLM 格式](https://docs.litellm.ai/docs/providers)） | - Network accessline 294
| `PAPER2SPEC_LIBRARY_PATH` | `./library` | 输出根目录 | | `PAPER2SPEC_MODEL` | `openai/gpt-4o-mini` | LLM 模型（[LiteLLM 格式](https://docs.litellm.ai/docs/providers)） | | `SPEC2CODE_BACKTEST_TIMEOUT` | `300` | 回测超时（秒） | - Network accessline 295
| `PAPER2SPEC_MODEL` | `openai/gpt-4o-mini` | LLM 模型（[LiteLLM 格式](https://docs.litellm.ai/docs/providers)） | - Access to secretsline 297
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git clone https://github.com/ALAGENT-HKU/x2strategy.git && cd x2strategy - Access to secretsline 328
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[Apache-2.0](LICENSE) · 由 **[ALAGENT AI 优彦智能](http://home.alagent.cloud)** 构建 — 可验证、可信赖的金融 AI - Network accessline 342
<a href="https://home.alagent.cloud">🌐 官网</a> · <a href="https://github.com/ALAGENT-HKU">GitHub</a> · <a href="mailto:contact@alagent.cloud">📧 contact@alagent.cloud</a>
SKILL.md
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An LLM API key is required for strategy extraction and code generation. Recommended options: 1. DeepSeek (best cost-performance, about ¥0.7 per paper) → https://platform.deepseek.com - Network accessline 153
1. DeepSeek (best cost-performance, about ¥0.7 per paper) → https://platform.deepseek.com - Network accessline 154
2. OpenRouter (one key for access to multiple models) → https://openrouter.ai/keys - Network accessline 291
|----------|---------|---------| | `PAPER2SPEC_LIBRARY_PATH` | `./library` | Output root | | `PAPER2SPEC_MODEL` | `openai/gpt-4o-mini` | Default LLM ([litellm-supported](https://docs.litellm.ai/docs/providers)) | - Network accessline 292
| `PAPER2SPEC_LIBRARY_PATH` | `./library` | Output root | | `PAPER2SPEC_MODEL` | `openai/gpt-4o-mini` | Default LLM ([litellm-supported](https://docs.litellm.ai/docs/providers)) | | `DEEPSEEK_API_KEY` | — | DeepSeek (recommended) | - Network accessline 293
| `PAPER2SPEC_MODEL` | `openai/gpt-4o-mini` | Default LLM ([litellm-supported](https://docs.litellm.ai/docs/providers)) | - Access to secretsline 294
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Any [litellm-supported model](https://docs.litellm.ai/docs/providers) works. - Access to secretsline 302
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assets/alagent_logo.svg
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1380 1489">
assets/backtrader_template.py
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examples/upsa/universal_portfolio_shrinkage_approximation.py
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paper2spec/__init__.py
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paper2spec/config.py
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paper2spec/extractor.py
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paper2spec/llm.py
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paper2spec/models.py
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paper2spec/operator_pitfall.py
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paper2spec/parser.py
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paper2spec/pdf_utils.py
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paper2spec/prompts.py
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paper2spec/render.py
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paper2spec/search.py
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ARXIV_API = "https://export.arxiv.org/api/query" - Network accessline 27
SSRN_SEARCH = "https://papers.ssrn.com/sol3/results.cfm" - Network accessline 104
try: req = urllib.request.Request(url, headers=headers) - Network accessline 105
req = urllib.request.Request(url, headers=headers) - Network accessline 106
with urllib.request.urlopen(req, timeout=timeout) as resp: - Network accessline 162
ns = {"atom": "http://www.w3.org/2005/Atom"} - Network accessline 217
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8", "Accept-Language": "en-US,en;q=0.9", "Referer": "https://papers.ssrn.com/", - Network accessline 218
"Accept-Language": "en-US,en;q=0.9", "Referer": "https://papers.ssrn.com/", "Connection": "keep-alive", - Network accessline 219
"Referer": "https://papers.ssrn.com/", - Network accessline 230
for m in re.finditer( r'href="(https://papers\.ssrn\.com/sol3/papers\.cfm\?abstract_id=\d+)"[^>]*>\s*<[^>]*font[^>]*>([^<]+)', - Network accessline 231
r'href="(https://papers\.ssrn\.com/sol3/papers\.cfm\?abstract_id=\d+)"[^>]*>\s*<[^>]*font[^>]*>([^<]+)',
pyproject.toml
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references/skill-internals.md
schemas/paper_content.schema.json
schemas/strategy_spec.schema.json
scripts/analyze.py
scripts/extract.py
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#!/usr/bin/env python3
scripts/generate_schemas.py
scripts/operator_pitfalls.py
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#!/usr/bin/env python3
scripts/parse.py
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#!/usr/bin/env python3
scripts/run_full_tests.sh
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scripts/search.py
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#!/usr/bin/env python3
scripts/validate_strategy.py
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#!/usr/bin/env python3
spec2code/__init__.py
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spec2code/config.py
spec2code/models.py
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spec2code/validator.py
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tests/__init__.py
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tests/conftest.py
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tests/test_e2e.py
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MOCK_ARXIV_XML = textwrap.dedent("""\ <?xml version="1.0" encoding="UTF-8"?> <feed xmlns="http://www.w3.org/2005/Atom"> - Network accessline 287
<?xml version="1.0" encoding="UTF-8"?> <feed xmlns="http://www.w3.org/2005/Atom"> <entry> - Network accessline 288
<feed xmlns="http://www.w3.org/2005/Atom"> - Network accessline 293
<author><name>John Doe</name></author> <author><name>Jane Smith</name></author> <link href="http://arxiv.org/abs/2401.12345" rel="alternate"/> - Network accessline 294
<author><name>Jane Smith</name></author> <link href="http://arxiv.org/abs/2401.12345" rel="alternate"/> <link href="http://arxiv.org/pdf/2401.12345" title="pdf"/> - Network accessline 295
<link href="http://arxiv.org/abs/2401.12345" rel="alternate"/> - Network accessline 296
<link href="http://arxiv.org/pdf/2401.12345" title="pdf"/> - Network accessline 301
<published>2023-06-01T00:00:00Z</published> <author><name>Alice Lee</name></author> <link href="http://arxiv.org/abs/2306.00001" rel="alternate"/> - Network accessline 302
<author><name>Alice Lee</name></author> <link href="http://arxiv.org/abs/2306.00001" rel="alternate"/> <link href="http://arxiv.org/pdf/2306.00001" title="pdf"/> - Network accessline 303
<link href="http://arxiv.org/abs/2306.00001" rel="alternate"/> - Network accessline 304
<link href="http://arxiv.org/pdf/2306.00001" title="pdf"/> - Network accessline 309
@patch("paper2spec.search.urllib.request.urlopen") - Network accessline 322
assert results[0].source == "arxiv" assert "2401.12345" in results[0].url assert results[0].pdf_url == "http://arxiv.org/pdf/2401.12345" - Network accessline 323
assert "2401.12345" in results[0].url assert results[0].pdf_url == "http://arxiv.org/pdf/2401.12345" assert results[0].authors == ["John Doe", "Jane Smith"] - Network accessline 324
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@patch("paper2spec.search.urllib.request.urlopen") - Network accessline 367
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tests/test_examples.py
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tests/test_extractor.py
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Executable file
tests/test_models.py
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tests/test_parser.py
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Executable file
tests/test_real_e2e.py
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[Credential-related source omitted] - Access to secretsline 56
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[Credential-related source omitted] - Access to secretsline 60
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[Credential-related source omitted]
tests/test_render.py
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How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Declared and executed: 4 facts
- Contacts export.arxiv.org, which SKILL.md, the README and the plugin manifest do not mentionpaper2spec/search.py:26High confidence
- Contacts papers.ssrn.com, which SKILL.md, the README and the plugin manifest do not mentionpaper2spec/search.py:27High confidence
- Contacts www.w3.org, which SKILL.md, the README and the plugin manifest do not mentionpaper2spec/search.py:162High confidence
- Contacts json-schema.org, which SKILL.md, the README and the plugin manifest do not mentionscripts/generate_schemas.py:92High confidence
Signal confidence: 169 facts
- Network access in prose of documentationREADME.md:9Low confidence
- Network access in prose of documentationREADME.md:10Low confidence
- Network access in prose of documentationREADME.md:11Low confidence
- Network access in prose of documentationREADME.md:12Low confidence
- Network access in prose of documentationREADME.md:13Low confidence
- Network access in prose of documentationREADME.md:28Low confidence
- Network access in prose of documentationREADME.md:29Low confidence
- Network access in prose of documentationREADME.md:30Low confidence
- Network access in prose of documentationREADME.md:31Low confidence
- Network access in prose of documentationREADME.md:61Low confidence
- Network access in code of documentationREADME.md:80Low confidence
- Network access in code of documentationREADME.md:81Low confidence
- Network access in code of documentationREADME.md:94Low confidence
- Network access in code of documentationREADME.md:101Low confidence
- Network access in code of documentationREADME.md:108Low confidence
- Access to secrets in code of documentation: a variable, placeholder or call, not a stored valueREADME.md:146Low confidence
- Network access in prose of documentationREADME.md:318Low confidence
- Network access in prose of documentationREADME.md:319Low confidence
- Network access in prose of documentationREADME.md:320Low confidence
- Access to secrets in prose of documentation: a variable, placeholder or call, not a stored valueREADME.md:322Low confidence
- Access to secrets in prose of documentation: a variable, placeholder or call, not a stored valueREADME.md:323Low confidence
- Access to secrets in prose of documentationREADME.md:324Low confidence
- Access to secrets in prose of documentationREADME.md:325Low confidence
- Access to secrets in code of documentation: a variable, placeholder or call, not a stored valueREADME.md:346Low confidence
- Network access in code of documentationREADME.md:354Low confidence
- Access to secrets in code of documentationREADME.md:356Low confidence
- Network access in prose of documentationREADME.md:362Low confidence
- Network access in prose of documentationREADME.md:370Low confidence
- Network access in prose of documentationREADME_CN.md:20Low confidence
- Network access in prose of documentationREADME_CN.md:21Low confidence
- Network access in prose of documentationREADME_CN.md:22Low confidence
- Network access in prose of documentationREADME_CN.md:23Low confidence
- Network access in prose of documentationREADME_CN.md:53Low confidence
- Network access in code of documentationREADME_CN.md:72Low confidence
- Network access in code of documentationREADME_CN.md:73Low confidence
- Network access in code of documentationREADME_CN.md:86Low confidence
- Network access in code of documentationREADME_CN.md:93Low confidence
- Network access in code of documentationREADME_CN.md:100Low confidence
- Access to secrets in code of documentationREADME_CN.md:138Low confidence
- Network access in prose of documentationREADME_CN.md:293Low confidence
- Network access in prose of documentationREADME_CN.md:294Low confidence
- Network access in prose of documentationREADME_CN.md:295Low confidence
- Access to secrets in prose of documentationREADME_CN.md:297Low confidence
- Access to secrets in prose of documentationREADME_CN.md:298Low confidence
- Access to secrets in prose of documentationREADME_CN.md:299Low confidence
- Access to secrets in code of documentationREADME_CN.md:318Low confidence
- Network access in code of documentationREADME_CN.md:326Low confidence
- Access to secrets in code of documentationREADME_CN.md:328Low confidence
- Network access in prose of documentationREADME_CN.md:334Low confidence
- Network access in prose of documentationREADME_CN.md:342Low confidence
and 119 more
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Native | Frontmatter field argument-hint in SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
