skillex AGENTS.md

skillex AGENTS.md is an instructions file for Codex, OpenCode from atheory-ai/skillex. It costs 564 tokens per session, scanned A, original, Apache-2.0.

A project instruction file for Skillex, a tool for discovering and reading skills used by coding agents.

In plain words
What is it for?
It guides local builds, development commands, and skill discovery through the Skillex MCP server or its command-line fallback.
Why use it?
It explains how to work from the repository's own source and how to find only the relevant skill information without loading everything.

Instructions file for CodexOpenCode

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 instructions/atheory-ai/skillex/agents-md
Clone the repo
git clone --depth 1 https://github.com/atheory-ai/skillex

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for skillex AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/atheory-ai/skillex/agents-md.svg)](https://agentmods.dev/instructions/atheory-ai/skillex/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/atheory-ai/skillex/agents-md"><img src="https://agentmods.dev/badge/instructions/atheory-ai/skillex/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 564 This file is loaded in full into every session.
When invoked 564 The same file — it is already loaded in full.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00564 $0.00564
Opus 5 $0.00282 $0.00282
Sonnet 5 $0.00113 $0.00113
Haiku 4.5 $0.00056 $0.00056

Measured 5d ago against content hash dbb4e6ca8ed2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skillex AGENTS.md 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 5d 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.

AGENTS.md · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS

This file documents how to work in this repository.

Local development

This checkout dogfoods the current source, not a globally installed Skillex release.

  1. Run make dev-binary after checkout. It builds .skillex/bin/skillex from this source tree.
  2. Run make dev-binary again after changing Go source.
  3. Use ./.skillex/bin/skillex for local Skillex commands (.exe on Windows). make refresh and the acceptance suite rebuild or select it automatically.

Skillex

This project uses Skillex for skill management. Use the skillex MCP server if available (preferred), otherwise use the CLI commands below.

MCP (preferred)

If the skillex MCP server is connected, use it directly:

  • Start with skillex_query (path, topic, tags, package, search, limit, cursor). It returns bounded discovery summaries, not whole skill files.
  • If too_broad is true, use its candidate-scoped narrow_with facets and suggestions to refine the query.
  • Use skillex_read with a selected result ref and optional section id only after discovery; keep reads bounded.
  • MCP resources provide a skill table of contents. Do not bulk-load skill content.

CLI (fallback)

If MCP is not available, query skills via the command line. If the repository documents a local development binary, use it instead of a globally installed release:

  skillex query --search "<concepts>"
  skillex query --path <filepath> --limit 8
  skillex query --topic <topic> --tags <tags>
  skillex read --ref <ref-from-query> --section <optional-section-id>

Available scopes

  • **
  • .github/workflows/release.yml
  • .goreleaser.yaml
  • CHANGELOG.md
  • Makefile
  • VERSION
  • cli/query.go
  • cli/read.go
  • docs/manual-testing.md
  • internal/agents/**
  • internal/packs/**
  • internal/query/**
  • internal/registry/**
  • mcp/server.go
  • test/**
  • test/acceptance/pack_test.go

Available topics

golden-tests, integration, mcp, packs, registry, release-recovery, releases, repo-conventions, retrieval, testing

Read the full file on GitHub · 68 lines

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.

  1. 5d ago First seen · 68 lines · 564 tokens per session scan A dbb4e6ca8ed2

Subscribe to this mod's changes

skillex AGENTS.md is an instructions file published in the GitHub repository atheory-ai/skillex (5 stars, last pushed 4d ago), licensed Apache-2.0. It adds 564 tokens to every session, about $0.0028 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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