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 torakagemusha-sudo/torafirma-skill-router --skill skill_routergit clone --depth 1 https://github.com/torakagemusha-sudo/torafirma-skill-routerWrote 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/torakagemusha-sudo/torafirma-skill-router/skill_router)<a href="https://agentmods.dev/skills/torakagemusha-sudo/torafirma-skill-router/skill_router"><img src="https://agentmods.dev/badge/skills/torakagemusha-sudo/torafirma-skill-router/skill_router/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/torakagemusha-sudo/torafirma-skill-router/skill_router"><img src="https://agentmods.dev/badge/skills/torakagemusha-sudo/torafirma-skill-router/skill_router.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 | $0.00044 | $0.00626 |
| Opus 5.5 | $0.00018 | $0.00250 |
| Sonnet 5.5 | $0.00009 | $0.00125 |
| Haiku 4.5 | $0.00004 | $0.00063 |
Grade A, and why
skill-router 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.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
skill-router
This is the single always-loaded interface skill for a large on-disk skill library. Do not enumerate or ingest the complete catalogue. Route internally from the user's ordinary task.
Mandatory protocol
- Translate the task into a concise capability query.
- Call
skill_search. - Inspect the bounded candidates and score explanations.
- Select the best eligible skill for the task.
- Call
skill_fetchwith all identity fields returned by that search result:
{
"skill_id": "selected-skill",
"expected_revision": "sha256:...",
"catalog_generation": "sha256:...",
"context": "the capability query"
}
- Load only the returned body and continue the original task.
- Do not ask the user to choose a skill unless the underlying task itself is genuinely ambiguous and requires domain clarification.
Identity rule
A bare skill_id is not an immutable body identity. Treat the selected skill as:
(skill_id, skill_version, revision_id, catalog_generation)
Never omit expected_revision or catalog_generation in the consumer path. If fetch reports a revision or generation mismatch, repeat search against the current catalogue. Do not retry with an unpinned bare fetch.
Temporal rule
Once fetched, keep that exact revision for the current task. Do not silently hot-reload a newly published revision into an in-flight context. Refresh only through a new search and exact fetch.
Ranking interpretation
The active policy is tf.skillrouter.hybrid-lexical.v1. It combines:
- exact token tiers: keywords
3.0, name2.0, description1.0; - FTS5 Porter-stemmed/prefix relevance weighted
0.6; - bounded edit-distance fuzzy relevance weighted
0.35; - a capped historical suggestion-to-fetch multiplier;
- lifecycle penalties;
- lexical
skill_idtie-breaking.
It is deterministic and explainable. It does not use embeddings or a learned classifier.
Consumer boundary
Normal agent use is read-only with respect to the catalogue and skill files. Runtime telemetry is written separately. Registration, indexing, deprecation, archival, and publication are operator functions and must not be invoked from the normal per-task agent loop.
What ships with it
1 file 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.
- 1mo ago First seen · 69 lines · 44 tokens per session scan A 902872a10e8f
skill-router is a skill published in the GitHub repository torakagemusha-sudo/torafirma-skill-router (18 stars, last pushed 2mo ago), licensed MIT. It adds 44 tokens to every session and 626 once invoked, about $0.0002 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 2026-08-30.
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