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 LMDHQ-0420/ResearchPilot-Skills --skill research-g.7-reviewgit clone --depth 1 https://github.com/LMDHQ-0420/ResearchPilot-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.
![agentmods badge for research[G.7]-review](/badge/skills/lmdhq-0420/researchpilot-skills/research-g.7-review/github.svg?v=0-21-A){kind=icon}
[](https://agentmods.dev/skills/lmdhq-0420/researchpilot-skills/research-g.7-review)<a href="https://agentmods.dev/skills/lmdhq-0420/researchpilot-skills/research-g.7-review"><img src="https://agentmods.dev/badge/skills/lmdhq-0420/researchpilot-skills/research-g.7-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.
![agentmods 80×15 button for research[G.7]-review](/badge/skills/lmdhq-0420/researchpilot-skills/research-g.7-review.svg?v=A-x){kind=icon}
<a href="https://agentmods.dev/skills/lmdhq-0420/researchpilot-skills/research-g.7-review"><img src="https://agentmods.dev/badge/skills/lmdhq-0420/researchpilot-skills/research-g.7-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00021 | $0.00960 |
| Opus 5 | $0.00010 | $0.00480 |
| Sonnet 5 | $0.00004 | $0.00192 |
| Haiku 4.5 | $0.00002 | $0.00096 |
Grade A, and why
research[G.7]-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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phase G.7: Full-Paper Review
user_requirements.md priority: All user constraints in
docs/user_requirements.mdtake precedence over any default instruction in this skill. Always read it before generating output.
Overview
Paper Writing Stage Chain
| Skill | Responsibility |
|---|---|
/research[G.0]-plan |
Update idea_report → plan structure/figures → select format |
/research[G.1]-method |
Write / revise Method |
/research[G.2]-experiments |
Write / revise Experiments |
/research[G.3]-abstract |
Write / revise Abstract |
/research[G.4]-introduction |
Write / revise Introduction |
/research[G.5]-related |
Write / revise Related Works |
/research[G.6]-conclusion |
Write / revise Conclusion + References |
/research[G.7]-review |
Full-paper review (five dimensions + claim-evidence) |
Command
/research[G.7]-review
An optional natural-language instruction may follow the command. The AI will treat it as an additional constraint or supplement for this invocation.
Prerequisite: Any or all sections written
Before Writing: Required Steps
- Read the full manuscript (avoid disconnection from already-written sections)
- Read all existing references (References section or .bib file)
- Read the
=== Paper Architecture ===comment block at the top of the manuscript - Read
docs/idea_report.mdanddocs/dev_log.md(find answers to writing questions here first) - Read example analysis if
docs/manuscripts/examples/style-notes.mdexists - Scan all annotations in the manuscript, list pending ones
- Confirm writing plan with user before writing anything
See references/common-writing-constraints.md for full details.
Full-Paper Review Section-Specific Requirements
Five Dimensions (Master-cai paper-review.md):
- Contribution: every claimed contribution supported by experiments?
- Writing clarity: one message per paragraph? topic sentence covers the paragraph? consistent terminology?
- Experimental strength: main/ablation/additional experiments cover all RQs? no missing strong baselines?
- Evaluation completeness: fair comparisons? metric selection justified?
- Method design soundness: every design choice motivated? ablation-verified?
What ships with it
5 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.
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 First seen · 131 lines · 21 tokens per session scan A 3786732edcf1
research[G.7]-review is a skill published in the GitHub repository LMDHQ-0420/ResearchPilot-Skills (284 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 960 once invoked, about $0.0001 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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