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.0-plangit 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.0]-plan](/badge/skills/lmdhq-0420/researchpilot-skills/research-g.0-plan/github.svg?v=0-20-A){kind=icon}
[](https://agentmods.dev/skills/lmdhq-0420/researchpilot-skills/research-g.0-plan)<a href="https://agentmods.dev/skills/lmdhq-0420/researchpilot-skills/research-g.0-plan"><img src="https://agentmods.dev/badge/skills/lmdhq-0420/researchpilot-skills/research-g.0-plan/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.0]-plan](/badge/skills/lmdhq-0420/researchpilot-skills/research-g.0-plan.svg?v=A-x){kind=icon}
<a href="https://agentmods.dev/skills/lmdhq-0420/researchpilot-skills/research-g.0-plan"><img src="https://agentmods.dev/badge/skills/lmdhq-0420/researchpilot-skills/research-g.0-plan.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 | $0.00020 | $0.00735 |
| Opus 5 | $0.00010 | $0.00367 |
| Sonnet 5 | $0.00004 | $0.00147 |
| Haiku 4.5 | $0.00002 | $0.00073 |
Grade A, and why
research[G.0]-plan 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.
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phase G.0: Paper Planning
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.0]-plan
An optional natural-language instruction may follow the command. The AI will treat it as an additional constraint or supplement for this invocation.
Flow Overview
Step 1: Update idea_report.md (compare with code, list diffs, user confirms, update in-place)
Step 2: Plan paper structure and figures (outline + per-section detail + figure/table plan)
Step 3: Ask for writing examples (before confirming structure; place in docs/manuscripts/examples/)
Step 4: Select paper format (md / LaTeX)
Step 5: Write detailed architecture comments into manuscript header
Step 6: Generate figure/table notebook cells in notebooks/figures.ipynb
See references/phase-G0.md for full details.
Version Management
idea_report.md: Edit in-place, no backup. Prepend modification record to file header.
Manuscript (paper.md / paper.tex): Back up before editing, keep original as latest version:
cp paper.tex paper_{mm-dd_hh-mm}.tex
Append to file header after editing:
% Modified: {mm-dd_hh-mm}
% Changes: {what changed}
% Previous backup: paper_{mm-dd_hh-mm}.tex
What ships with it
3 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.
- 13d ago First seen · 102 lines · 20 tokens per session scan A 04d5eefb45ca
research[G.0]-plan is a skill published in the GitHub repository LMDHQ-0420/ResearchPilot-Skills (284 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 735 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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