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 captkernel/Skills_Curator --skill skills-curatorgit clone --depth 1 https://github.com/captkernel/Skills_CuratorWrote 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/captkernel/skills_curator/skills-curator)<a href="https://agentmods.dev/skills/captkernel/skills_curator/skills-curator"><img src="https://agentmods.dev/badge/skills/captkernel/skills_curator/skills-curator/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/captkernel/skills_curator/skills-curator"><img src="https://agentmods.dev/badge/skills/captkernel/skills_curator/skills-curator.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 | $0.00066 | $0.03780 |
| Opus 5 | $0.00033 | $0.01890 |
| Sonnet 5 | $0.00013 | $0.00756 |
| Haiku 4.5 | $0.00007 | $0.00378 |
Grade A, and why
skills-curator 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 9d 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 — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skills Curator v4
Install the skill. Customize it to your stack. Decide once, never re-decide.
Other skill managers stop at install. Skills Curator's headline capability is --customize: take any external skill, scan the user's project, and produce a project-tailored fork with examples rewritten for their stack (Vue → React, Django → FastAPI, generic CI → their CI). The engine emits a per-section action plan (keep, keep-trim, rewrite-stack, drop-or-rewrite, rewrite-frontmatter); the agent does the prose. Nothing else in the ecosystem does this.
The second pillar is persistent judgment: every evaluation produces a structured record (pros / cons / conflicts / verdict / partial-adoption plan) saved to a personal registry — so the same skill is never re-evaluated from scratch, and decisions become PR-pasteable artifacts.
Read reference files on demand:
references/commands.md— all commands and flagsreferences/evaluation.md— evaluation format and principlesreferences/discovery.md— how recommendations work, response templates, categoriesreferences/schema.md— registry data model
First activation in a session
The first time this skill activates in a session, open with this two-line orientation before answering, then continue with whatever was asked:
🧭 Skills Curator loaded — your intelligence layer for Claude skills. I maintain a trust-rated catalog (curated entries + live GitHub topic search), identify what fits your project (stack, deps, CLAUDE.md), and on request return ranked lists with pros, cons, and per-project customization advice — persisting every decision so you don't re-evaluate. Working on your request now.
Skip the orientation entirely if --auto (next section) is about to surface concrete picks — those are more useful than a generic intro. Don't repeat orientation in later messages of the same session.
Proactive activation (the intelligence layer)
Customization is the headline capability; proactive activation is what makes it useful unprompted. Don't wait for the user to say "evaluate this skill" — surface relevant skills when project context implies one would help, and lead with --customize when the skill's stack doesn't match.
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.
- 9d ago First seen · 292 lines · 66 tokens per session scan A 33cb1a8786f0
skills-curator is a skill published in the GitHub repository captkernel/Skills_Curator (2 stars, last pushed 16d ago), licensed MIT. It adds 66 tokens to every session and 3,780 once invoked, about $0.0003 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 2026-08-31.
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