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 amirkiarafiei/open-scholar-peer --skill 4-osp-baseline-scoutgit clone --depth 1 https://github.com/amirkiarafiei/open-scholar-peerWrote 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/amirkiarafiei/open-scholar-peer/4-osp-baseline-scout)<a href="https://agentmods.dev/skills/amirkiarafiei/open-scholar-peer/4-osp-baseline-scout"><img src="https://agentmods.dev/badge/skills/amirkiarafiei/open-scholar-peer/4-osp-baseline-scout/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/amirkiarafiei/open-scholar-peer/4-osp-baseline-scout"><img src="https://agentmods.dev/badge/skills/amirkiarafiei/open-scholar-peer/4-osp-baseline-scout.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 | $0.00025 | $0.01041 |
| Opus 5.5 | $0.00010 | $0.00416 |
| Sonnet 5.5 | $0.00005 | $0.00208 |
| Haiku 4.5 | $0.00003 | $0.00104 |
Grade A, and why
4-osp-baseline-scout 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 22d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/4-osp-baseline-scout — Adversarial Baseline Audit
Acts as an adversarial auditor identifying baselines and datasets the authors should have compared against but didn't.
Activation
Invoke the osp-baseline-scout-agent skill.
Inputs — none of these is a gate
phases.literature.status == "completed". Without a retrieved corpus the Scout searches from scratch, which it is built to do anyway — it just costs more calls and may miss what an earlier round already found. Run it, and say in Provenance that there was no corpus to start from.historianis helpful and never required; the Scout works from the structured summary.- No structured summary either? Read
.brain/input/paper.mddirectly for the task and the baselines claimed, and record that you did.
Record any skip before you start. The orchestrator is not in the loop when the user runs this
command directly, so it falls to you: for every earlier phase still pending, set
phases.<name>.status = "skipped" and phases.<name>.skip_reason to their reason, or
"user ran /4-osp-baseline-scout first". A phase left pending reads as "not reached yet", and the final review
cannot tell the difference.
Resource notice
⚠️ Makes ~6-10 API calls to search for SOTA methods and benchmarks. Expect 1-2 minutes, or longer when it reads a paper in full — one full-text read can take up to ~75 seconds on its own.
Opening block (print before step 1)
Render the opening block exactly as .agents/defaults/phase_block_template.md defines it — that
file holds the rail, the rules and the widths, and it is the only place they are written down.
This is phase 5 of 7 (baseline_scout); read the rail's state from session.json. Values:
DOING find baselines and datasets the authors left out
READS .brain/raw/01_structured_summary.md
.brain/raw/02_retrieved_literature.md
WRITES .brain/raw/04_missing_baselines.md
COST ~2 min, ~6-10 searches
Steps
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.
- 22d ago First seen · 85 lines · 25 tokens per session scan A f436a45845bc
4-osp-baseline-scout is a skill published in the GitHub repository amirkiarafiei/open-scholar-peer (48 stars, last pushed 12d ago), licensed MIT. It adds 25 tokens to every session and 1,041 once invoked, about $0.0001 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 2026-09-24.
Other skills, from other repositories
ara-rigor-reviewer
Performs ARA Seal Level 2 semantic epistemic review on Agent-Native Research Artifacts, scoring six dimensions (evidence relevance, falsifiability, scope calibration, argument coherence, exploration integrity, methodological rigor) and producing a constructive, severity-ranked report with a Strong Accept-to-Reject…
eval-design-forensics
Audit whether a paper's EVALUATION DESIGN actually measures what it claims and whether its reporting is complete — the validity layer family D (experiment-forensics) cannot reach. Three patterns: train/test leakage means the reported score may not measure generalization (HP-EVAL-LEAKAGE — adopts the Kapoor & Narayanan…
anti-autoresearch
End-to-end substantive-integrity forensic sweep of a research paper (especially autoresearch / AI-Scientist-style output). Orchestrates the whole pipeline: ingest (arxiv-id | pdf | dir → working dir + pdftotext for L0) → /evidence-ledger (artifact manifest + observability level L0/L1/L2 + span-anchored claims.json) →…
baseline-comparison-audit
Audit whether a paper's baseline comparisons are COMPLETE, FAIR, and SIGNIFICANT: a required recent SOTA baseline is missing while 'best/SOTA' is claimed (HP-MISSING-BASELINE); a baseline is undertuned / given less compute-tuning-data, run at a mismatched config, or the equal-budget ablation-as-baseline is absent…
experiment-forensics
Audit experiment integrity against the evidence ledger. At L2 (repo + result files present) a fresh cross-model reviewer reads the eval code line-by-line for fake/derived ground truth, score self-normalization, phantom results (a paper number with no backing file/key), dead/uncalled metric code, verified-scope…
proof-derivation-forensics
Family-G proof & derivation integrity forensics: does a THIRD PARTY's written proof/derivation actually establish its theorem, or does it skip an obligation, assume its own conclusion, take an invalid step, drift a symbol's meaning, or smuggle an unstated assumption? Decides from the WRITTEN proof/derivation …