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carreypro/ict-trading-model
ICT and SMC market-structure validation skill with deterministic OHLCV scanning
History
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SKILL.md
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70GitHub stars
5stars in 7 days
1skill in this repository
3commits in 30 days
Heat
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- Star growth, last 24 hoursNot available
- Rank movement, last 7 daysNot available
- Commits, last 30 daysNot available
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekNot available
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Individual skills in this repository
How it works
ict-trading-model
When your agent uses it
Analyze liquid markets with a strict ICT/SMC framework that combines multi-timeframe bias, liquidity sweeps, displacement, close-confirmed MSS/BOS, FVG/OB/Breaker/OTE retracements, premium-discount location, session timing, invalidation, targets, and risk-to-reward. Use for ICT chart reviews, live-market analysis, OHLCV scans, or validating a user's trade thesis. Return an auditable setup status and conditional plan; do not use for generic indicator analysis, order execution, or claims of proven institutional intent.
What it loads into context
Frontmatter
134 tokensAlways available to the agent
SKILL.md
1,701 tokensWhen the skill is activated
Reference documents
4,205 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Modes
- 1. Establish data and clock
- 2. Build the narrative before the trigger
- 3. Apply the strict ICT setup gate
- 4. Validate PD arrays precisely
- 5. Respect time and event filters
- 6. Classify, do not overclaim
- 7. Present auditable evidence
Scripts executed separately
scripts/ict_scan.pytests/test_ict_scan.py
Files
.github/workflows/test.ymlasset325 bytes.gitignoreasset48 bytesLICENSEasset1,066 bytesREADME.mddoc11,064 bytesSKILL.mdcore7,130 bytesagents/openai.yamlasset305 bytesreferences/ict-model.mddoc5,474 bytesreferences/output-contract.mddoc2,139 bytesscripts/ict_scan.pyruns21,167 bytestests/test_ict_scan.pyruns3,737 bytes
Read SKILL.md
# ICT Trading Model
Turn ICT vocabulary into a falsifiable, candle-by-candle model. Treat ICT/SMC
as a price-action framework, not a proven description of hidden institutional
orders. Label observations, interpretations, and unknowns separately.
This skill is analysis-only. Never place or modify an order unless the user
separately invokes an execution skill and explicitly authorizes that action.
## Modes
- **Explain**: define an ICT concept and show its bullish/bearish mirror.
- **Map**: mark HTF bias, dealing range, external/internal liquidity, PD arrays,
and active session on supplied or live candles.Skills included
- ict-trading-model
Repository facts
- License
- MIT
- Created
- Oct 10, 2026
- Last pushed
- Oct 10, 2026
- Forks
- 22
- Open issues
- 0
- Project activity
- Active
Before you install
Local scriptsAutomated signals, not a guarantee
Checked Nov 6, 2026
- No broad tool permissions
- No dangerous shell commands
- 3 network referencesin 1 file: README.md:3
- No hidden or obfuscated text
- No instruction overrides
- 2 executable scriptsin 2 files: scripts/ict_scan.py:1 tests/test_ict_scan.py:1
- No access to secrets
- No requests to vote in Hot
Show all 5 signals by file
README.md
- Network accessline 3
[](https://github.com/carreypro/ict-trading-model/actions/workflows/test.yml) - Network accessline 4
[](LICENSE) - Network accessline 39
npx skills add https://github.com/carreypro/ict-trading-model --skill ict-trading-model
scripts/ict_scan.py
- Executable scriptline 1
#!/usr/bin/env python3
tests/test_ict_scan.py
- Executable scriptline 1
Executable file
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.
Signal confidence: 5 facts
- Network access in prose of documentationREADME.md:3Low confidence
- Network access in prose of documentationREADME.md:4Low confidence
- Network access in code of documentationREADME.md:39Low confidence
- Executable script in code of a file that runsscripts/ict_scan.py:1High confidence
- Executable script in code of a testtests/test_ict_scan.py:1Low confidence
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Compatible | Standard SKILL.md 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.
