Individual skill
deepxiv-fa-fr
Search 1.0M US Federal Register documents (1994–): rules, proposed rules, notices, presidential documents, with agencies, action kind and dates. Use when a task needs what a US agency published or proposed.
skills/deepxiv-fa-fr/SKILL.md
Source commit 95676a17a732655c73d8b28fd7b0c177485db9e8
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
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- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 4, 2026
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- Repository stars (not skill ratings)
- 848
- Repository last updated
- Oct 19, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- engineering Derived category
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# DeepXiv · Federal Register (`fr`)
1.0M Federal Register documents (1994– ): rules, proposed rules, notices and presidential documents. Action kind (closed set of 19), issuing agencies, affected parties, effective and comment-close dates and one-line summaries are model-extracted. No vectors: structured filters plus bilingual full-text search in Postgres.
Corpus: 1,008,597 documents.
## Setup
```bash
pip install -U deepxiv-sdk # deepxiv registers a token on first use
```
With a registered key (https://data.rag.ac.cn/register), `search` and `read` are fair use: 60/min, 5 at once, 5,000/day; on the auto-registered token they spend the deepxiv daily limit at the credits listed below. `ask` draws on the daily ask allowance (resets 00:00 UTC; a site-wide daily total can run out early at peak times), or 3 lifetime trial asks on the auto-registered token. On 429, back off for `Retry-After` seconds. Data goes to stdout; cost, quota and sources go to stderr. Exit 0 ok, 1 API error, 2 usage error. The general CLI guide is the `deepxiv-cli` skill.