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 skills/zts0hg/codexspec/codexspec-specifynpx skills add Zts0hg/codexspec --skill codexspec-specifygit 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 | $0.00018 | $0.01311 |
| Opus 5 | $0.00009 | $0.00656 |
| Sonnet 5 | $0.00004 | $0.00262 |
| Haiku 4.5 | $0.00002 | $0.00131 |
Grade A, and why
codexspec:specify 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Requirement Discovery
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 (requirements/spec/plan/tasks).
Converse in the interaction language and author artifacts in the document language. Apply the project's translation standard to both: translate by meaning (not word-for-word), keep English for terms with no good native equivalent, and write as if originally in that language.
User Input
the text after the $codexspec:specify skill mention
Goal
Turn the user discussion into a persistent, traceable requirements.md. The discussion is the richest source of intent, but only the user's confirmed stage summary becomes binding downstream authority.
Do not generate spec.md in this command.
Feature Workspace
New Feature
When the text after the $codexspec:specify skill mention is a new requirement:
- Derive a short kebab-case feature name.
- Run the platform create-new-feature script:
- Bash:
.codexspec/scripts/create-new-feature.sh --name "<feature-name>" - PowerShell:
.codexspec/scripts/create-new-feature.ps1 -ShortName "<feature-name>" "<description>"
- Bash:
- Parse the created feature directory and
requirements.mdpath. - If branch creation is unavailable, continue in the workspace and report the limitation.
Existing Feature
When the argument identifies an existing feature:
- Use the explicit directory first.
- Otherwise match the current branch.
- If multiple features are possible, ask the user to select one. Never silently select the latest.
- Load the existing
requirements.md. - Legacy feature: if only
spec.mdexists, extract candidate entries from it, mark themopen, and require user confirmation before they become authoritative.
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 · 127 lines · 18 tokens per session scan A 72524db11fd2
codexspec:specify is a skill published in the GitHub repository Zts0hg/codexspec (5 stars, last pushed 4d ago), licensed MIT. It adds 18 tokens to every session and 1,311 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 skills, from other repositories
spec-manager
Spec-driven project iteration workflow — L1 PRD → L2 Design → L3 Impl → Agent Task → Deploy, with human review gates at each layer. Pure local markdown storage, no MCP, no network. Use when the user invokes /spec-manager or asks for: new feature/PRD, technical design, implementation spec, agent task, iteration plan…
spec-manager
Spec-driven project iteration workflow — L1 PRD → L2 Design → L3 Impl → Agent Task → Deploy, with human review gates at each layer. Pure local markdown storage, no MCP, no network. Use when the user invokes /spec-manager or asks for: new feature/PRD, technical design, implementation spec, agent task, iteration plan…
spec-manager
Spec-driven project iteration workflow: L1 PRD -> L2 Design -> L3 Impl -> Agent Task, with human review gates at each layer.
comet-native
Comet Native 工作流。当用户明确调用 /comet-native、要求启动或恢复 Native change，或入口路由到 Native 时使用。.
comet-design
Comet Classic 阶段 2 —— 为 change 产出深度技术 Design Doc。.
bug-triage
Read all open bugs in production/qa/bugs/, re-evaluate priority vs. severity, assign to sprints, surface systemic trends, and produce a triage report. Run at sprint start or when the bug count grows enough to need re-prioritization.