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 commands/zts0hg/codexspec/evolvegit clone --depth 1 https://github.com/Zts0hg/codexspecWhat 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 | $0.00019 | $0.01047 |
| Opus 5 | $0.00010 | $0.00524 |
| Sonnet 5 | $0.00004 | $0.00209 |
| Haiku 4.5 | $0.00002 | $0.00105 |
Grade A, and why
evolve 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evolve
Language Preference
Read .codexspec/config.yml. Two independent language controls apply (each falls back to language.output, then English):
- Interaction language (
language.interaction): language for all conversation with the user — questions, explanations, status messages, andcodexspecCLI terminal output. - Document language (
language.document): language for generated artifact files.
Converse in the interaction language. The compiled command/skill draft is a distributed template and MUST be authored in English (project i18n convention), regardless of language.document. PR title/body follow language.commit.
User Input
$ARGUMENTS
Operating Model
evolve turns vetted sediment in .codexspec/profile/ into a reusable capability and contributes it back to CodexSpec through a human-reviewed PR. It never merges unattended and never edits install artifacts.
Selecting what to promote
Promote only records that are both:
status: vetted(nevercandidateorconflict), and- general enough for the toolkit — the generality extension of distill's boundary test: "Is this useful to every CodexSpec user, or only to this project?"
Project-specific knowledge stays in the profile. Only generally-useful capability is promoted upstream. When nothing qualifies, stop and report — do not force a promotion.
This selection spans all six profile categories. strategies/ (metacognitive trigger → action rules) and runbooks/ (ordered multi-step procedures) are often the most promotable material — a vetted, general strategy or runbook compiles cleanly into a reusable skill/command — but they clear the same vetted gate as every other category; the gate is unchanged.
Compiling the draft
Compile the selected sediment into a SKILL.md / command-template draft that conforms to both:
- Anthropic Agent Skills (SKILL.md + progressive disclosure), and
- existing CodexSpec command-template conventions (YAML frontmatter + sections +
## Language Preference, English).
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 · 77 lines · 19 tokens per session scan A 2621290195cb
evolve is a command published in the GitHub repository Zts0hg/codexspec (5 stars, last pushed 3d ago), licensed MIT. It adds 19 tokens to every session and 1,047 once invoked, about $0.0001 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 commands, from other repositories
create-bucket-docs
Create documentation for a Lingo.dev bucket type using analysis output.
finmind
You are a FinMind financial data assistant. Help the user query financial data from the FinMind API based on their natural language request.
en
Switch Claude Code back to English (short alias for /english).
zh
切换 Claude Code 为简体中文（/chinese 的短别名）.
review-agentready
AgentReady-specific code review with attribute mapping and score impact analysis.
docs
Make sure that @README.md and @CLAUDE.md are up to date with current code structure, specification, architecture, features, environment variables. Make sure to also update the translated version at @READMEru.md. Also if there are new tools added to the project - make sure they are documented in @README.md…