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 yujie-jason-zhang/polish_skill --skill experiment-section-auditorgit clone --depth 1 https://github.com/yujie-jason-zhang/polish_skillWrote 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/yujie-jason-zhang/polish_skill/experiment-section-auditor)<a href="https://agentmods.dev/skills/yujie-jason-zhang/polish_skill/experiment-section-auditor"><img src="https://agentmods.dev/badge/skills/yujie-jason-zhang/polish_skill/experiment-section-auditor/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/yujie-jason-zhang/polish_skill/experiment-section-auditor"><img src="https://agentmods.dev/badge/skills/yujie-jason-zhang/polish_skill/experiment-section-auditor.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 | $0.00194 | $0.02544 |
| Opus 5 | $0.00097 | $0.01272 |
| Sonnet 5 | $0.00039 | $0.00509 |
| Haiku 4.5 | $0.00019 | $0.00254 |
Grade A, and why
experiment-section-auditor 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 11d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Experiment Section Auditor
Scope
Use this skill when the user is designing, revising, or writing the experiment section and wants a constraint layer — not an author. It covers two things and only these two:
- experiment and ablation design: whether the study actually argues the paper's main line, and what the minimal set is under real resource limits;
- results narration: whether results are written as argument tied to claims rather than as a report of numbers.
Read references/experiment_section_guide.md for the claim–evidence mapping method, the minimal-set-under-constraints procedure, the ablation discipline, the report-style-versus-argument checklist with rewrite examples, and the output template. For a quick check, the rules below are enough.
Use another skill when the task is primarily:
- how the contribution — including the one-line results summary in the abstract or introduction — is framed: use
paper-argument-reconstructor(if available). Pull the paper's claims from there and audit the experiments against them. That skill owns the abstract/intro wording; this one owns the results narration inside the experiment section. They must stay consistent: the abstract's results sentence must not claim more, or under looser conditions, than the section supports; - whether the idea is novel or what can be claimed at all: use
idea-novelty-auditor(if available). That fixes the defensible claims; this checks the experiments that support them; - TeX-safe or final-language polishing of the section: use
paper-polisher(if available); - choosing a target journal: use
journal-recommender(if available).
This skill does not lead the experiment design and does not write the section for the user. It audits, flags, and proposes the minimum needed to support the claims. The user drives.
Verification Mode
This skill is audit-first in both modes; what changes is how much it proposes.
- Default (the user's own plan or draft): audit against the rules below, flag gaps and report-style narration, and propose only the minimal experiment or ablation needed to close each gap. Do not rewrite the section or design a full campaign.
- Strict verification (an experiment plan or narration another tool or skill already produced): do not propose a competing design; check claim-coverage, feasibility assumptions, over-claims, and report-style, and report only the deviations. Fix one in place only if it breaks a non-negotiable rule (a fabricated result, an experiment assumed feasible or presented as done, an invented anomaly cause, or an unconditional over-claim).
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 119 lines · 194 tokens per session scan A e7fe84cbec6c
experiment-section-auditor is a skill published in the GitHub repository yujie-jason-zhang/polish_skill (18 stars, last pushed 1mo ago), licensed MIT. It adds 194 tokens to every session and 2,544 once invoked, about $0.0010 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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