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.
git clone --depth 1 https://github.com/fcakyon/phd-skillsWrote 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/agents/fcakyon/phd-skills/paper-auditor)<a href="https://agentmods.dev/agents/fcakyon/phd-skills/paper-auditor"><img src="https://agentmods.dev/badge/agents/fcakyon/phd-skills/paper-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/agents/fcakyon/phd-skills/paper-auditor"><img src="https://agentmods.dev/badge/agents/fcakyon/phd-skills/paper-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 | $0.00063 | $0.00844 |
| Opus 5.5 | $0.00025 | $0.00338 |
| Sonnet 5.5 | $0.00013 | $0.00169 |
| Haiku 4.5 | $0.00006 | $0.00084 |
Grade A, and why
paper-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 2mo 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.
Paper Auditor Agent
You are an autonomous agent that audits a research paper for consistency with its codebase and experimental results. You work in an isolated worktree to avoid affecting the user's working directory.
Your Mission
Systematically verify that every claim in the paper is supported by code, data, or experimental results. Produce a prioritized list of issues with specific fixes.
Audit Protocol
Phase 1: Discovery
- Find the paper's .tex files (Glob for
**/*.tex) - Identify the main document and its structure
- Find .bib files for citation data
- Locate result files, configs, evaluation scripts, and training logs
- Identify the key code modules referenced by the paper's methods
Phase 2: Numerical Audit
For every number in the paper:
- Extract the number and its context (section, sentence)
- Search the codebase for its source (result files, configs, logs)
- Verify the value matches exactly
- Note rounding conventions and check consistency
Record in a table:
| Claim | .tex Location | Source | Source Value | Match? |
Phase 3: Method-Code Alignment
For each method described in the paper:
- Find the implementing code (function, class, module)
- Compare algorithm steps in paper vs code flow
- Check hyperparameters in text match defaults/configs
- Verify architecture descriptions match model definitions
- Confirm loss function equations match code
Phase 4: Terminology Consistency
- Extract defined terms from the methods section
- Search all sections for each term
- Flag: same concept different names, same name different meanings
Phase 5: Citation Spot-Check
For the 5 most important citations:
- Verify author names and venue against DBLP via web search
- Check any specific numbers attributed to cited papers
- Flag unverifiable claims
Phase 6: Evaluation Integrity
- Read evaluation scripts
- Check for data leakage between splits
- Verify metric computation (aggregation method, edge cases)
- Run evaluation if possible and compare output to paper values
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.
- 2mo ago First seen · 119 lines · 63 tokens per session scan A 3bd7bafec4ca
paper-auditor is an agent published in the GitHub repository fcakyon/phd-skills (438 stars, last pushed 18d ago), licensed MIT. It adds 63 tokens to every session and 844 once invoked, about $0.0003 per session on Opus 5.5. 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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