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 yuanruichen/MetForge --skill metforge-projectgit clone --depth 1 https://github.com/yuanruichen/MetForgeWrote 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/yuanruichen/metforge/metforge-project)<a href="https://agentmods.dev/skills/yuanruichen/metforge/metforge-project"><img src="https://agentmods.dev/badge/skills/yuanruichen/metforge/metforge-project/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/yuanruichen/metforge/metforge-project"><img src="https://agentmods.dev/badge/skills/yuanruichen/metforge/metforge-project.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 | $0.00081 | $0.01558 |
| Opus 5.5 | $0.00032 | $0.00623 |
| Sonnet 5.5 | $0.00016 | $0.00312 |
| Haiku 4.5 | $0.00008 | $0.00156 |
Grade A, and why
metforge-project 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 10d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MetForge Project
Help the researcher decide what to investigate, how to distinguish explanations, and what evidence would change the plan. Develop the project through conversation; keep the current scientific core in proj.md and the evidence/decision history in log.md.
Context and intent
- Read applicable repository instructions. Locate the actual research repository, which may differ from the installed MetForge skill source. Resolve document paths from that repository root.
- Read user-supplied notes and existing
doc/core/research/<projname>/proj.md, plus recent relevantlog.mdentries. Reuse the user's terminology and decisions; do not start a fresh questionnaire when the answers already exist. - Infer one of three intents from the request:
- Start: clarify an idea and develop a new project core.
- Resume: recover the current core and open questions, then continue the interview.
- Update: assess supplied evidence or a changed decision, append the log, and revise the affected core statements.
- Confirm the project identity/path only if ambiguous. Reuse an existing slug; otherwise suggest a short folder name and establish it before writing. Never silently choose among multiple projects or replace an existing project with a template.
Resources belong to this skill directory, not the research working directory. Read references/interview-guide.md when starting or resuming an interview. Use the two assets/ templates only when creating new documents; preserve existing headings and user-edited content during updates.
Scientific interview
- Begin with a brief account of what is known and the most consequential unresolved issue. Ask one focused question by default, at most three closely related questions when useful, then wait for the user's answer. Do not supply an entire questionnaire or a finished project plan on the first exploratory turn.
- Choose the next question from the actual gap: scientific question/scope, literature basis, competing hypotheses, available evidence, diagnostic or experimental route, or milestone/acceptance criteria. These are coverage areas, not mandatory consecutive rounds.
- Explain why a consequential choice matters. Offer a few neutral alternatives when they help; label your proposed mechanisms, definitions, or methods as suggestions until the user adopts them. Do not steer the researcher toward a preferred result or assume every project needs a novel mechanism claim.
- After an answer, briefly restate the scientific decision it supports, distinguish what remains unresolved, and move to the next useful question. Challenge ambiguous causal claims with alternatives or possible counterevidence, without repeatedly reopening settled choices.
- Match the user's working language. If the user requests an immediate draft or skips a topic, produce an honest draft with unresolved items; do not impose an arbitrary minimum number of rounds.
What ships with it
4 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.
- 10d ago First seen · 70 lines · 81 tokens per session scan A 84ab14a55895
metforge-project is a skill published in the GitHub repository yuanruichen/MetForge (4 stars, last pushed 9d ago), licensed MIT. It adds 81 tokens to every session and 1,558 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 2026-10-27.
metforge-project compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| metforge-projectyuanruichen/MetForge | Skill | 4 | 9d ago | MIT | A | 81 | Claude Code, Codex |
| lit-reviewdgilford/ai-science-toolkit | Skill | 82 | 4d ago | MIT | B | 49 | Claude Code |
| figure-styleaipoch/open-science | Skill | 5.5k | yesterday | Apache-2.0 | A | 91 | Claude Code, Codex |
| remote-compute-sshaipoch/open-science | Skill | 5.5k | yesterday | Apache-2.0 | A | 53 | Claude Code, Codex |
| paper-narrativeaipoch/open-science | Skill | 5.5k | yesterday | Apache-2.0 | A | 58 | Claude Code, Codex |
| figure-composeraipoch/open-science | Skill | 5.5k | yesterday | Apache-2.0 | A | 93 | Claude Code, Codex |
| literature-reviewaipoch/open-science | Skill | 5.5k | yesterday | Apache-2.0 | A | 54 | Claude Code, Codex |