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 agentmods add instructions/takeoff69/codex-skills-kit/agents-mdgit clone --depth 1 https://github.com/TAKEOFF69/codex-skills-kitWhat 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 | $0.00714 | $0.00714 |
| Opus 5 | $0.00357 | $0.00357 |
| Sonnet 5 | $0.00143 | $0.00143 |
| Haiku 4.5 | $0.00071 | $0.00071 |
Grade A, and why
codex-skills-kit 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 2d 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md – codex-skills-kit
Conventions for agents working in this repository. This is a content and tooling repo: reusable Codex workflow skills, plugin packaging, fixtures, and deterministic validation scripts. There is no application runtime.
What this repo is
A package of Codex skills covering prompt delegation, Git contention, gate engineering, honest verification, session closeout, and self-distillation. It also ships as a Codex plugin. Methodology is product; keep its depth while stripping project-specific details.
Layout
.codex-plugin/plugin.json– plugin manifest bundling all folders underskills/..agents/plugins/marketplace.json– repository marketplace catalog pointing at root plugin.skills/<name>/SKILL.md– skill instructions and triggering frontmatter.skills/<name>/agents/openai.yaml– optional Codex app metadata validated when present.skills/<name>/scripts/– optional deterministic helper with hermetic selftest when practical.examples/<task-type>-example.md– worked prompts on fictional Acme Notes project.fixtures/golden-prompts/<task-type>.md– compact canonical prompts validated against task registry.task-types.json– source-of-truth mapping task types to skills, templates, examples, and fixtures.scripts/validate_skills.py– skill, plugin, registry, fixture, release, link, and secret validator..github/workflows/validate-skills.yml– CI validation on pushes and pull requests.
Validate before committing
python scripts/validate_skills.py --selftest
python scripts/validate_skills.py
python skills/git-under-contention/scripts/contention_preflight.py --selftest
Green validation covers skill frontmatter, present Codex metadata, plugin and marketplace coherence, task registry, golden fixtures, local links and anchors, release metadata, secret patterns, and seeded validator failures.
Conventions
- Style: en dashes (–) only in prose – never em dashes (—) or
--as punctuation. Syntactic--in commands, SQL, and Markdown is fine. - Project-neutral: examples and skills reference only Acme Notes or generic placeholders – no private project names, infrastructure, paths, or incident identifiers.
- Progressive disclosure: keep
SKILL.mdfocused; move deep optional detail into directly linkedreferences/. - Skill metadata: frontmatter must match validator;
agents/openai.yamldefault prompt must name$skill-name. - Persistent gates: prove new or changed gates with known-bad and known-good cases plus deterministic selftest.
- Task-type changes move together: update
codex-prompt, prompt templates, worked example, golden fixture,task-types.json, and README table in one change. - Plugin inventory changes move together: update plugin manifest description/default prompts, changelog version, README, and validation.
- Diff discipline: every changed line traces to task; avoid drive-by formatting.
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 · 53 lines · 714 tokens per session scan A 5acc3dc929bf
codex-skills-kit AGENTS.md is an instructions file published in the GitHub repository TAKEOFF69/codex-skills-kit (6 stars, last pushed 1mo ago), licensed MIT. It adds 714 tokens to every session, about $0.0036 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.
Other instructions, from other repositories
codex-project-skill-manager AGENTS.md
Instructions for WildPigKing/codex-project-skill-manager, covering codex project & skill manager, product boundary, startup routing, consent contract and repository records.
Agents-todo AGENTS.md
AGENTS.md instructions for daniel-aranda/Agents-todo, covering agents.md, project, files, coding rules and test commands.
ruleblast AGENTS.md
Instructions for Kpoiut/ruleblast, covering ruleblast repository instructions, evidence before confidence, change discipline and before a commit.
domain-experts CLAUDE.md
Instructions for wonsukchoi/domain-experts, covering domain experts — session bootstrap, non-negotiables when adding or editing roles, dual-graph context policy, mandatory: always follow this order and token usage.
agents-reverse-engineer AGENTS.md
Instructions for GeoloeG-IsT/agents-reverse-engineer, covering agents-reverse-engineer, stack, subdirectories, architecture and behavioral contracts.
ai-agent-instruction-modules AGENTS.md
Instructions for tablackburn/ai-agent-instruction-modules, covering ai agent instructions, instructions for ai agents, instruction applicability matrix, available instruction files and quick reference.