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 skills add pedrohcgs/Claude-Mini --skill audit-reproducibilitygit clone --depth 1 https://github.com/pedrohcgs/Claude-MiniWrote 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/pedrohcgs/claude-mini/audit-reproducibility)<a href="https://agentmods.dev/skills/pedrohcgs/claude-mini/audit-reproducibility"><img src="https://agentmods.dev/badge/skills/pedrohcgs/claude-mini/audit-reproducibility/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/pedrohcgs/claude-mini/audit-reproducibility"><img src="https://agentmods.dev/badge/skills/pedrohcgs/claude-mini/audit-reproducibility.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00054 | $0.02209 |
| Opus 5 | $0.00027 | $0.01104 |
| Sonnet 5 | $0.00011 | $0.00442 |
| Haiku 4.5 | $0.00005 | $0.00221 |
Grade A, and why
audit-reproducibility 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 10d 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audit Reproducibility
Compare numeric claims in a manuscript (point estimates, standard errors, p-values, counts) against the actual outputs produced by the analysis pipeline. Report PASS / FAIL per claim against the tolerance thresholds defined in .claude/rules/replication-protocol.md.
Core principle: If the paper says ATT = -1.632 (0.584) and the code produces -1.628 (0.591), we verify — numerically — that the difference is within the documented tolerance. No more "looks close enough" eyeballing.
When to use
- Before submission. Catches the "I updated the analysis but forgot to update Table 2" bug.
- Before releasing a replication package. Verifies the code actually reproduces the paper.
- After a major revision. Ensures the paper still matches the latest code.
- Quality-gate in
/commit. Pair with a pre-commit invocation on manuscript + analysis changes.
Inputs
$0— path to the manuscript (.tex,.qmd,.md,.pdf). Required.$1— path to the outputs directory. Defaults toscripts/R/_outputs/. Can be_targets/objects/, a Stata.do-file log directory, etc.
Workflow
Phase 0: Pre-flight
- Read
replication-protocol.mdfor the tolerance thresholds currently in effect. - Verify the outputs directory exists and is non-empty. If empty or stale (older than the manuscript), prompt the user to re-run their pipeline (e.g.,
Rscript scripts/R/00_run_all.R) before auditing. - Ensure a
sessionInfo.txtor equivalent environment capture exists in the outputs dir.
Phase 1: Extract claims from the manuscript
Parse the manuscript for numeric claims. Patterns to match:
- Point-estimate + SE:
ATT = -1.632 (0.584),$\beta = 0.342$ (0.091),hat{\tau} = 1.28**with starred significance - Table cells:
& -1.632$^{***}$ & 0.584 &in LaTeX table environments - Counts:
our sample of 2,847 firms,$N = 2{,}847$ - Summary stats:
mean = 0.423,SD = 0.087 - P-values:
p < 0.01,$p = 0.003$
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.
- 10d ago First seen · 171 lines · 54 tokens per session scan A a90b0767e57b
audit-reproducibility is a skill published in the GitHub repository pedrohcgs/Claude-Mini (11 stars, last pushed 4mo ago), licensed MIT. It adds 54 tokens to every session and 2,209 once invoked, about $0.0003 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 2026-08-31.
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