Agent-Skills: Instructions file for Codex

AGENTS.md

Agent-Skills AGENTS.md is an instructions file for Codex, OpenCode from jscraik/Agent-Skills. It costs 1,271 tokens per session, scanned A, original, Apache-2.0.

A guide for working in Agent-Skills Kit, a repository that manages reusable instructions and workflows for coding agents.

In plain words
What is it for?
Use it when bootstrapping the repository, inspecting YAML, running infrastructure tests, or changing skills, workflows, and agent documentation.
Why use it?
It explains the project’s required setup, command wrappers, configuration checks, and test environment so agents use the repository’s supported tools.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Codex.

This is jscraik/Agent-Skills's own configuration. It tells Codex and OpenCode how to work on Agent-Skills itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Agent-Skills configures →

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /Users/jamiecraik/dev/skills-foundry.

Reuse

Borrowing it

Nothing to install: this file belongs to jscraik/Agent-Skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/jscraik/Agent-Skills/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/jscraik/Agent-Skills

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 1,271 This file is loaded in full into every session.
When invoked 1,271 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 5.1 $0.01271 $0.01271
Opus 5 $0.00635 $0.00635
Sonnet 5 $0.00254 $0.00254
Haiku 4.5 $0.00127 $0.00127

Measured 6d ago against content hash a15750bbdfd4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

Agent-Skills 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 6d 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 · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

agent-skills Agent Guide

Agent Skills Kit is the canonical control plane for authoring, validating, discovering, and syncing Codex skills, operator docs, and agent workflows.

Root Essentials

  • On a fresh checkout, run bash scripts/bootstrap-ask.sh --json before requiring ./bin/ask; if the wrapper is unavailable, verify the fallback with python3 bin/ask repo status --json.
  • Use ./bin/ask for repo operations; it forwards to Infrastructure/bin/ask.
  • The repository root has no package manager install step. Use repo wrappers at the root, and use package commands only inside verified package roots.
  • Inspect YAML through the managed wrapper lane, not ad hoc system Python: ./bin/ask repo yaml-inspect <repo-relative-yaml> --json --robot or mise run yaml-inspect -- <repo-relative-yaml>. Plain python3 is not a PyYAML contract for this repo.
  • Run Infrastructure Python tests through the locked Infrastructure environment, not the system Python from the repo root. Use bash Infrastructure/scripts/run-infrastructure-python.sh -m unittest tests.<module> or bash Infrastructure/scripts/run-infrastructure-python.sh -m pytest <path> so dependencies from Infrastructure/uv.lock are available.
  • Before changing skills, sync policy, runtime projections, or agent-facing docs, read UBIQUITOUS_LANGUAGE.md.
  • Before changing Skills SDK plans, specs, atlas visuals, capability claims, or product-direction docs, use the product-boundary terms in UBIQUITOUS_LANGUAGE.md: /Users/jamiecraik/dev/skills-foundry is the source-only Foundry for retained packages; agent-skills implements and dogfoods the Skills SDK and owns active SDK candidates; Tessl is distribution and external proof; and local runtime truth is a separate installed-behavior lane. A package's explicit owner decision—not a runtime path—decides its canonical source.
  • For a package selecting skills-sdk.gold-standard.v1, read Skills SDK Authoring Contract, update references/contract.yaml: authoring_contract with the skill, and run ./bin/ask skills package verify <skill-path> --json --robot. That is a structural admission gate only: run the declared behavioral proof and the selected runtime or external lane before claiming the skill is ready.
  • Edit canonical sources, not runtime projections. See Path Ownership Boundaries.
  • Finish the named outcome through the smallest local change and focused proof. Feedback is diagnostic evidence, not automatic authority to stop delivery or add process. Select the High-Signal Steering Feedback only for its named conditions. Routine delivery does not require a steering ledger entry or new process artifact. When that route is selected, opening and reading it in the current turn is required; record the result in .harness/quality/steering-uptake.md and run python3 Infrastructure/scripts/validation-and-linting/validate_steering_uptake.py --json.
  • Keep runtime handles candidate-bound: wait, poll, or resume only the active handle returned by the immediately preceding tool result, and perform those operations serially for that handle. See High-Signal Steering Feedback for recovery rules.
  • Skills SDK PM thread coordination: when Jamie designates one thread as the Skills SDK PM decision surface, use PM Thread Coordination.
  • Keep local, runtime, cloud, Tessl, and release proof separate. Use Tessl Live Skill Eval Workflow and Skills SDK Runtime Lane Contract only when those lanes are selected.

Read the full file on GitHub · 96 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. 6d ago First seen · 96 lines · 1,271 tokens per session scan A a15750bbdfd4

Subscribe to this mod's changes

Agent-Skills AGENTS.md is an instructions file published in the GitHub repository jscraik/Agent-Skills (8 stars, last pushed 5d ago), licensed Apache-2.0. It adds 1,271 tokens to every session, about $0.0064 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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