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/analyzegit 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 | $0.01050 |
| Opus 5 | $0.00009 | $0.00525 |
| Sonnet 5 | $0.00004 | $0.00210 |
| Haiku 4.5 | $0.00002 | $0.00105 |
Grade A, and why
analyze 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cross-Artifact Analyzer
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
$ARGUMENTS
Operating Model
This command detects cross-artifact inconsistencies and auto-remediates them. It is not read-only.
requirements.mdis the single source of truth. analyze never modifiesrequirements.md. Every fix conforms the downstream artifacts (spec.md,design.md,plan.md,tasks.md) torequirements.md; the fix direction is uniquely determined by the authority hierarchy (requirements > spec > design > plan > tasks) and never requires inventing intent.- Auto-apply deterministic, authority-directed fixes by default — both when invoked manually and when invoked inside the
auto_nextchain — with no confirmation prompt and no human-escalation path.
Resolve the feature by explicit path, then current branch. Ask the user if it is ambiguous; never select the latest feature silently.
Inputs
Load:
requirements.mdspec.mddesign.mdplan.mdtasks.md- Constitution
A legacy feature may have no design.md; when it is absent, analyze the chain without the design link and proceed.
Legacy compatibility: if requirements.md is missing, state that the analysis starts at spec.md and cannot validate fidelity to the original discussion. In legacy mode there is no source of truth to conform to, so do not auto-modify artifacts; report findings only.
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 · 105 lines · 18 tokens per session scan A a47fc077b40e
analyze is a command published in the GitHub repository Zts0hg/codexspec (5 stars, last pushed 3d ago), licensed MIT. It adds 18 tokens to every session and 1,050 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.
chinese
切换 Claude Code 为简体中文(界面、spinner 动词与提示).
english
Switch Claude Code back to English (UI, spinner verbs and tips).
en
Switch Claude Code back to English (short alias for /english).
translate-chapter
你是一位专业的小说翻译专家,负责批量翻译整个章节的内容,确保章节间的连贯性和术语一致性。.
Create a LinkedIn post from any content source.