What is skill-router?

A repository-aware manager that scans the current codebase and recommends a limited set of relevant skills, agents, and tool servers for the work.

Use it to detect the project's technology and workflow signals, rank suitable helpers, and unload ones that no longer fit after confirmation.

Loading every helper can waste context, slow the agent, and create conflicting instructions; selecting only relevant helpers keeps the session focused.

skill-router — Skill by stevesolun

Install

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.

agentmods

npx agentmods add skills/stevesolun/ctx/docs

Any agent

npx skills add stevesolun/ctx --skill docs

Clone the repo

git clone --depth 1 https://github.com/stevesolun/ctx

Made for: Claude Code, Codex.

Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,185 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00072	$0.02185
Opus 5	$0.00036	$0.01092
Sonnet 5	$0.00014	$0.00437
Haiku 4.5	$0.00007	$0.00218

Measured 2d ago against content hash 7b5e50e5ca34, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 2d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (assets/javascripts/catalog.js, assets/javascripts/repo-stats-refresh.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

docs/SKILL.md · 305 lines

How it starts

The opening of the file, as written. The whole thing — 305 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Router

Scan a repo. Know what the current work needs. Recommend only that. Keep the wiki and graph as the durable catalog behind the decision.

Scope

The router manages runtime recommendations for:

skills
agents
MCP servers

Harnesses are separate catalog entities. They are recommended when a user wants to run ctx with a non-Claude-Code host, local model, API model, or external loop adapter. Once attached, the harness calls the same skills/agents/MCP recommendation engine.

Problem

Every loaded helper costs tokens, attention, and operational surface area. Most sessions need a small top-scored bundle from the shipped graph, not every entity ctx knows about. Loading too much:

wastes context on irrelevant instructions,
causes misfires when a helper matches the wrong task,
slows the agent loop, and
creates conflicting instructions.

Architecture

ctx/
|-- src/scan_repo.py                         # Repo scanner -> stack profile
|-- src/ctx/core/resolve/resolve_skills.py   # Profile -> load/unload manifest
|-- src/ctx/core/resolve/recommendations.py  # Shared scoring/ranking engine
|-- src/ctx/adapters/                        # Host adapters + generic tools
|-- src/harness_install.py                   # Custom-model harness install flow
`-- graph/wiki-graph-runtime.tar.gz          # Shipped graph/wiki runtime

The router has three halves:

Scanner - analyzes a repo and produces stack/task evidence.
Resolver - scores graph/wiki entities and emits a capped manifest.
Wiki/graph - persistent catalog of entities, usage, quality, and links.

Startup Flow

Read the shipped graph/wiki metadata and local user overrides.
Run ctx-scan-repo --repo . --recommend for the active repo.
Resolve a load/unload manifest with the shared recommendation engine.
Present changes with reasons and require confirmation unless the user enabled automatic mode.
Record usage/quality changes after the user accepts or rejects suggestions.

Read the full file on GitHub · 305 lines

Files

What ships with it

56 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.

Changes

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.

2d ago First seen · 305 lines · 72 tokens per session scan A 7b5e50e5ca34

Subscribe to this mod's changes

skill-router is a skill published in the GitHub repository stevesolun/ctx (581 stars, last pushed 8d ago), licensed MIT. It adds 72 tokens to every session and 2,185 once invoked, about $0.0004 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.

Data and AI Memory and context Writing and docs agents ai-agents anthropic automation claude claude-code

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