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 mappedsky/seizu --skill skillset-inventory-reviewgit clone --depth 1 https://github.com/mappedsky/seizuWrote 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/mappedsky/seizu/skillset-inventory-review)<a href="https://agentmods.dev/skills/mappedsky/seizu/skillset-inventory-review"><img src="https://agentmods.dev/badge/skills/mappedsky/seizu/skillset-inventory-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/mappedsky/seizu/skillset-inventory-review"><img src="https://agentmods.dev/badge/skills/mappedsky/seizu/skillset-inventory-review.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 | $0.00030 | $0.00553 |
| Opus 5.5 | $0.00012 | $0.00221 |
| Sonnet 5.5 | $0.00006 | $0.00111 |
| Haiku 4.5 | $0.00003 | $0.00055 |
Grade A, and why
skillset-inventory-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 1mo 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.
What it actually says
Review Seizu's skillset and skill inventory for the area the focus input names. Use the skillsets MCP tools as the source of truth; do not infer stored skills from memory.
Inputs — the values arrive in the ## Inputs block below these instructions:
focus— the skillset, skill, domain, or review goal to concentrate on.include_versions— whether to review version history as well.
Workflow:
- Call
skillsets__listto identify available skillsets. - For every relevant skillset, call
skillsets__getandskillsets__list_skills. - For every relevant skill, call
skillsets__get_skilland inspect its name, description, parameters, triggers, tools_required, enabled state, and effective_enabled state. - If
include_versionsis true, callskillsets__list_versionsfor relevant skillsets andskillsets__list_skill_versionsfor relevant skills to identify recent churn or stale definitions.
Review criteria:
- Skill and skillset IDs are lower_snake_case, specific, and stable.
- Descriptions explain when to use the skill, not just what it is named.
- Templates include clear workflow steps, output expectations, tool-use order, and evidence/uncertainty rules.
- Parameters are minimal, typed correctly, and have defaults only when a safe default exists.
- Triggers are natural phrases users are likely to ask.
- tools_required contains every tool the rendered skill instructs the agent to call, and no unrelated tools.
- Disabled skills or disabled parent skillsets are called out with operational impact.
Output format:
Inventory Summary: count skillsets and skills reviewed; note disabled items.High-Value Skills: skills that are well-structured and why.Issues: ordered findings with skillset_id, skill_id when applicable, impact, and exact recommended change.Suggested Edits: concrete new descriptions, triggers, parameters, tools_required, or template changes.Follow-up: any additional skillsets or skills that should be created.- Keep the response evidence-backed and separate confirmed stored metadata from recommendations.
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.
- 1mo ago First seen · 36 lines · 30 tokens per session scan A 3f76a9bd27f2
skillset-inventory-review is a skill published in the GitHub repository mappedsky/seizu (5 stars, last pushed 16d ago), licensed Apache-2.0. It adds 30 tokens to every session and 553 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 2026-09-11.
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