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 skills add a275618631/codex-antigravity-collaboration --skill checklist-validatorgit clone --depth 1 https://github.com/a275618631/codex-antigravity-collaborationWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/a275618631/codex-antigravity-collaboration/checklist-validator)<a href="https://agentmods.dev/skills/a275618631/codex-antigravity-collaboration/checklist-validator"><img src="https://agentmods.dev/badge/skills/a275618631/codex-antigravity-collaboration/checklist-validator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/a275618631/codex-antigravity-collaboration/checklist-validator"><img src="https://agentmods.dev/badge/skills/a275618631/codex-antigravity-collaboration/checklist-validator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00066 | $0.00650 |
| Opus 5 | $0.00033 | $0.00325 |
| Sonnet 5 | $0.00013 | $0.00130 |
| Haiku 4.5 | $0.00007 | $0.00065 |
Grade A, and why
checklist-validator 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 8d 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.
What it actually says
檢查清單驗證器
Trigger
使用者要求「幫我檢查」、「交付前驗證」、「確認有沒有漏」、「ready check」時啟用。
Input Schema
必填：
artifactchecklist_type
選填：
custom_rulesrisk_levelaudiencestorage_ledgerstorage_ledger
Workflow
- 判斷 artifact 類型與交付風險。
- 選擇對應檢查清單。
- 每項標記 pass、fail 或 needs review。
- 列出必修項目。
- 產生 readiness score 與核准建議。
- 若涉及外部保存，檢查 routing ledger、CODEX 根／parent、專案沿用、檔名政策、GitHub repository／branch 與寫入後回讀。
- 若涉及外部保存，檢查 routing ledger、CODEX 根／parent、專案沿用、檔名政策、GitHub repository／branch 與寫入後回讀。
Output Schema
輸出：
checklistpassedfailedneeds_reviewrequired_fixesreadiness_scoreapproval_needed
Validation
- 每個 failure 必須有明確原因。
- 高風險項目需要人工核准。
- 缺資料不可默默通過。
- Drive 交付必須同時通過：
storage_location、project_reuse、filename_policy、remote_exists；缺任一項即needs_review或fail。 - GitHub 交付必須確認 owner、repository、branch、實際檔案位置與 commit／遠端存在性；不可用本機路徑代替。
- Drive 交付必須同時通過：
storage_location、project_reuse、filename_policy、remote_exists；缺任一項即needs_review或fail。 - GitHub 交付必須確認 owner、repository、branch、實際檔案位置與 commit／遠端存在性；不可用本機路徑代替。
- 本 Skill 負責判斷成果是否可交付；完成後的修改清單、測試結果與待確認事項格式由
output-contract處理。
KPI
- 目標省時：80-90%。
- 目標正確率：90%。
- 成功指標：交付前漏項明顯降低。
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.
- 8d ago First seen · 62 lines · 66 tokens per session scan A 0fbdb82ec101
checklist-validator is a skill published in the GitHub repository a275618631/codex-antigravity-collaboration (8 stars, last pushed 9d ago), licensed MIT. It adds 66 tokens to every session and 650 once invoked, about $0.0003 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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