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 wanshuiyin/Anti-Autoresearch --skill baseline-comparison-auditgit clone --depth 1 https://github.com/wanshuiyin/Anti-AutoresearchWrote 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/wanshuiyin/anti-autoresearch/baseline-comparison-audit)<a href="https://agentmods.dev/skills/wanshuiyin/anti-autoresearch/baseline-comparison-audit"><img src="https://agentmods.dev/badge/skills/wanshuiyin/anti-autoresearch/baseline-comparison-audit/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/wanshuiyin/anti-autoresearch/baseline-comparison-audit"><img src="https://agentmods.dev/badge/skills/wanshuiyin/anti-autoresearch/baseline-comparison-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 354 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
- high Anti-Refusal · line 475 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00310 | $0.15911 |
| Opus 5 | $0.00155 | $0.07956 |
| Sonnet 5 | $0.00062 | $0.03182 |
| Haiku 4.5 | $0.00031 | $0.01591 |
Grade A, and why
baseline-comparison-audit 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 13d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- baseline-comparison-audit — 91% identical, 86 lines differ
How it starts
The opening of the file, as written. The whole thing — 947 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Baseline Comparison Audit — is the comparison complete, fair, and significant?
Audit baseline-comparison integrity for: $ARGUMENTS (requires claims.json
from /evidence-ledger). Emit span-anchored baseline-comparison-audit.findings.json.
This skill computes no verdict.
🔒 Do not wrap this skill in
/loop,/schedule, orCronCreate. It is verdict-bearing input — it proposes the findings the deterministic adjudicator turns into the report. Re-firing it on a wall-clock timer adds no signal: its output changes only when the paper / ledger (or the live leaderboard it cross-checks) changes, not with the clock. Schedule the external wait that precedes it — ledger built → audit once. (Mirrors ARIS's external-cadence doctrine.)
Adapted from ARIS
paper-claim-audit— its scope-overclaim and delta-arithmetic checks, reframed from "paper vs result files" to "is the SOTA claim earned, and is the comparison a fair fight?" — plus a per-domain baseline profile and a completeness / fairness / significance split. A favourite autoresearch shortcut is to claim SOTA while omitting the obvious recent baseline, to beat an undertuned one, or to write "outperforms" over error bars that overlap. This skill is the constraint that asks for the fair fight, pointed at a third party's submission, and it stays honest about what it cannot settle from a PDF.
Why this exists
An autoresearch pipeline (or rushed human) optimises for the headline and treats the comparison table as scaffolding to fill, not a fair experiment to run. The repeatable failure modes:
- Completeness — "achieves state-of-the-art on GSM8K" while the obvious recent
baseline a 2024–2026 reviewer expects is simply absent from the table, or the
strong classical floor (BM25 for retrieval, GBDT for tabular, a linear/naive
forecaster for time-series) is skipped while only weak neural baselines are beaten.
HP-MISSING-BASELINE - Fairness — the proposed method is tuned for 100 epochs / 5 seeds / extra data,
the baseline is run at default settings for 10; or the compared rows use different
backbones, splits, or eval protocols; or the single most informative baseline —
the method's own backbone with the new component removed, at an identical
budget — is missing.
HP-WEAK-BASELINE - Significance — "consistently outperforms" on a 0.3-point gap with overlapping
error bars, with no variance / no seed count reported at all, or resting on a single
dataset too thin for the "consistent / across-the-board" wording.
HP-SIG-OVERLAP - Delta arithmetic — "improves over the strongest baseline by 16%" when the
baseline row is 73.1 and the proposed row is 78.0 (+6.7% relative / +4.9 points),
the two operands sitting in different cells so the single-sentence deterministic
pass cannot pair them.
HP-DELTA-ERROR(cross-row form)
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.
- 13d ago First seen · 947 lines · 310 tokens per session scan A d706bd83830c
baseline-comparison-audit is a skill published in the GitHub repository wanshuiyin/Anti-Autoresearch (153 stars, last pushed 3d ago), licensed MIT. It adds 310 tokens to every session and 15,911 once invoked, about $0.0015 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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