Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/empiricaai/empirica/code-docs-alignnpx skills add EmpiricaAI/empirica --skill code-docs-aligngit clone --depth 1 https://github.com/EmpiricaAI/empiricaWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/empiricaai/empirica/code-docs-align)<a href="https://agentmods.dev/skills/empiricaai/empirica/code-docs-align"><img src="https://agentmods.dev/badge/skills/empiricaai/empirica/code-docs-align.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00108 | $0.03192 |
| Opus 5 | $0.00054 | $0.01596 |
| Sonnet 5 | $0.00022 | $0.00638 |
| Haiku 4.5 | $0.00011 | $0.00319 |
Grade A, and why
code-docs-align scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 362 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code-Docs Alignment: Documentation Accuracy Investigation
Verify that documentation matches code. Find stale, misleading, or phantom docs.
This skill is purely noetic — it discovers mismatches between documentation and code. It does NOT fix anything. The output (findings, goals, unknowns) feeds into the Empirica workflow for praxic remediation.
Why this matters: For AI-based workflows and enterprise evaluation, stale documentation
is worse than missing documentation — it actively misleads. /code-audit checks code quality.
docs-assess checks doc coverage. This skill checks the gap: do the docs match the code?
How to Run
/code-docs-align # Check entire project
/code-docs-align --target src/handlers/ # Check specific directory
/code-docs-align --focus docstrings # Focus on one dimension
/code-docs-align --focus todos # Focus on TODO/FIXME audit
/code-docs-align --focus ref-docs # Focus on ref-doc accuracy
Phase 0: PREFLIGHT
Open a transaction before investigating.
empirica preflight-submit - << 'EOF'
{
"work_type": "docs",
"task_context": "Code-docs alignment audit on <target>",
"vectors": { "...": "YOUR OWN assessment across the 13 vectors" },
"reasoning": "What you actually know about this codebase's docs right now"
}
EOF
No canned vector values. This skill used to print a fixed block —
know: 0.2, uncertainty: 0.7 and so on — for you to submit verbatim. That
teaches the one habit the whole measurement layer exists to prevent: reporting
numbers you did not assess. A pasted vector set is not a low reading, it is a
fabricated one, and it corrupts the calibration record more than skipping the
transaction would.
Assess where you genuinely are. If you have already read the docs you are about
to audit, know is not 0.2, and saying so is the point.
If you were already grounded before opening — you read the target first — declare
claims in PREFLIGHT with grounding read or ran and proceed straight to
praxic. No CHECK needed; see /epistemic-transaction.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 362 lines · 108 tokens per session scan A 0b1dfc13bb5b
code-docs-align is a skill published in the GitHub repository EmpiricaAI/empirica (245 stars, last pushed today), licensed MIT. It adds 108 tokens to every session and 3,192 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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