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 hdu-ailab/EasyResearch --skill peer-reviewgit clone --depth 1 https://github.com/hdu-ailab/EasyResearchWrote 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/hdu-ailab/easyresearch/peer-review)<a href="https://agentmods.dev/skills/hdu-ailab/easyresearch/peer-review"><img src="https://agentmods.dev/badge/skills/hdu-ailab/easyresearch/peer-review/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/hdu-ailab/easyresearch/peer-review"><img src="https://agentmods.dev/badge/skills/hdu-ailab/easyresearch/peer-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Excessive Agency · line 28 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00034 | $0.01872 |
| Opus 5.5 | $0.00014 | $0.00749 |
| Sonnet 5.5 | $0.00007 | $0.00374 |
| Haiku 4.5 | $0.00003 | $0.00187 |
Grade A, and why
peer-review 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 12d 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 — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Peer Review
Adapted from K-Dense for EasyResearch's independent Review Agent, immutable
reviews/ artifacts, Search-only nested dispatch, and no-source-edit boundary.
Scope And Authority
Review an explicitly supplied Markdown and/or TeX manuscript source against the supplied material package, accepted experiment evidence, figures/tables, venue requirements, and prior specialist handoffs. A PDF is never the sole manuscript input. Do not reconstruct or infer source from a PDF inside Review.
The dispatch must carry authorization to process the material through the currently configured model/provider and enough scope to identify confidentiality, venue, conflict, or policy constraints. Never ask the user directly. When source, authorization, venue policy, or critical evidence cannot be derived, preserve usable findings and return a blocked handoff for the Research Assistant.
Review supports an accountable human author/reviewer. It does not submit a review, contact an editor, upload confidential material, delete files, provide a publication decision, or certify scientific/ethical compliance.
Artifact Boundary
Every Review run or continuation creates a new immutable report:
reviews/review_report-YYYYMMDD-HHmmss-SSS.md
First apply specialist-handoff's Long Documents And Interrupted Writes recipe:
write and verify one small section per call in a unique reviews/.parts-review-<UUID>/
workspace, then assemble the complete report locally into a unique
reviews/.draft-review_report-<UUID>.md. Preserve confirmed sections after a
failed call and retry only incomplete work; do not send a whole long report again.
Inspect the assembled draft, then use
the absolute loaded specialist-handoff/scripts/publish_immutable.py path from
the exact session cwd with --directory reviews --prefix review_report to
publish it with atomic no-overwrite semantics. The helper
appends a numeric suffix on collision. Never overwrite a previous report and
never create a mutable review_report.md, latest pointer, or symlink. The Review
handoff names the exact report.
What ships with it
23 files 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.
- assets/citation_references_template.csv 196 B
- assets/claim_evidence_matrix_template.csv 745 B
- assets/reporting_checklist_template.csv 968 B
- assets/reporting_guidelines.json 13 KB
- assets/review_intake_template.json 1.3 KB
- assets/review_scaffold_template.md 2.6 KB
- assets/source_ledger.csv 8.9 KB
- assets/statistical_reproducibility_template.json 7.1 KB
- assets/study_profile_template.json 197 B
- LICENSE.upstream 1.0 KB
- references/common_issues.md 14 KB
- references/ethical_review_practice.md 10 KB
- references/reporting_standards.md 14 KB
- references/statistical_reproducibility.md 11 KB
- references/tool_reference.md 8.2 KB
- scripts/_common.py 14 KB runs code
- scripts/audit_citations.py 6.9 KB runs code
- scripts/audit_statistics_reproducibility.py 10 KB runs code
- scripts/generate_review_scaffold.py 2.6 KB runs code
- scripts/lint_review.py 7.4 KB runs code
- scripts/select_reporting_guidelines.py 13 KB runs code
- scripts/validate_claim_evidence.py 6.9 KB runs code
- scripts/validate_review_intake.py 15 KB runs code
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.
- 12d ago Changed · +13 lines 9359c85bd080
- 1mo ago Changed · +5 lines 42907de1db0b
- 1mo ago First seen · 171 lines · 34 tokens per session scan A 38bce54e8cc9
peer-review is a skill published in the GitHub repository hdu-ailab/EasyResearch (14 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 1,872 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 2026-08-30.
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