verify

verify is a skill for Claude Code, Codex from curtischoutw/claude-institution. It costs 51 tokens per session (1,173 once invoked), scanned A, original, MIT.

A completion checklist that requires evidence before reporting a coding task as finished. It runs available tests, checks the main user path and edge cases, reviews warnings, and inspects the code changes.

In plain words
What is it for?
Use it before a commit or completion report to verify tests, manual behavior, error cases, and the final Git diff.
Why use it?
It prevents declaring work complete based only on what the code appears to do, especially when tests or boundary cases were not actually run.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Good fit Use it before a commit or completion report to verify tests, manual behavior, error cases, and the final Git diff.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/curtischoutw/claude-institution/verify
Install

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.

Any agent
npx skills add curtischoutw/claude-institution --skill verify
Clone the repo
git clone --depth 1 https://github.com/curtischoutw/claude-institution

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for verify

README.md
[![agentmods](https://agentmods.dev/badge/skills/curtischoutw/claude-institution/verify/github.svg)](https://agentmods.dev/skills/curtischoutw/claude-institution/verify)
Your own site
<a href="https://agentmods.dev/skills/curtischoutw/claude-institution/verify"><img src="https://agentmods.dev/badge/skills/curtischoutw/claude-institution/verify/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.

agentmods 80×15 button for verify

Your own site · 80×15
<a href="https://agentmods.dev/skills/curtischoutw/claude-institution/verify"><img src="https://agentmods.dev/badge/skills/curtischoutw/claude-institution/verify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,173 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00051 $0.01173
Opus 5.5 $0.00020 $0.00469
Sonnet 5.5 $0.00010 $0.00235
Haiku 4.5 $0.00005 $0.00117

Measured 14d ago against content hash f76f0179e084, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

verify scanned grade A with 1 finding 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 14d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- 用真實指令實際執行改動的功能(curl、跑 script、開頁面),不是只看程式碼「應該會動」。
institution/skills/verify/SKILL.md · 72 lines

What it actually says

verify:完成前驗證

目的:杜絕「假完成」。每一個 ✅ 都必須有貼出來的指令與輸出當證據;沒有證據就不是 ✅。

執行步驟(依序,不可跳過)

1. 複述完成判準

用一句話寫出這個任務原本的完成判準(來自 tasks/todo.md 或使用者的原話)。

  • 如果寫不出具體判準 → 停,先回去確認任務範圍,不要繼續。

2. 跑現有測試

  • 先找測試指令:依序檢查 package.json 的 scripts、Makefile、pyproject.toml、CI 設定檔(.github/workflows/)。
  • 跑它,貼出輸出最後 10 行。
  • 找不到任何測試 → 明確寫「本專案無測試」,不要假裝跑過。
  • 測試失敗 → 不是完成。回去修,或如實回報失敗內容。

3. 手動走 happy path

  • 用真實指令實際執行改動的功能(curl、跑 script、開頁面),不是只看程式碼「應該會動」。
  • 貼出實際輸出。

4. 走至少 2 個邊界情況

從這個清單挑與改動相關的:空輸入、超長輸入、不存在的檔案/ID、權限不足、重複執行(冪等性)、並發、非 ASCII 字元。

  • 每個邊界情況:一行寫「輸入 → 預期 → 實際」。

5. 檢查沒有新的警告或錯誤

  • 重看步驟 2–4 的輸出有無 warning / error / deprecation。
  • 有 log 檔就 tail 一下。

6. 審視 diff

  • git diff --stat(或比對改動清單),確認:
    • 沒有除錯碼(console.log、print、註解掉的程式碼)
    • 沒有與任務無關的檔案被改到
    • diff 大小與任務規模相稱(小任務出現大 diff = 警訊,回報它)

7. Staff engineer 之問

自問:「一位資深工程師會核准這個 PR 嗎?」有任何遲疑 → 把遲疑的點寫進回報,不要吞掉。

回報格式(固定模板)

## 驗證報告
- 完成判準:<一句話>
- 測試:✅/❌/無測試 — <指令> → <輸出尾行>
- Happy path:✅/❌ — <指令> → <實際輸出>
- 邊界情況:
  - <輸入> → 預期 <X> → 實際 <Y> ✅/❌
  - <輸入> → 預期 <X> → 實際 <Y> ✅/❌
- 新警告/錯誤:無 / <內容>
- Diff:<N 檔 / M 行>,無除錯碼、無無關改動
- 未驗證項目:<誠實列出,說明原因>
- 已驗證: <hard-rules #3;本輪未引用使用者陳述的程式碼事實則寫「不適用」>
- 範圍外發現: <hard-rules #4;記到 tasks/todo.md 的項目,或「無」>
- AUTH: 使用者說「<原話>」<judgment.md §1;本輪無不可逆動作則寫「不適用」>

上面最後三行是逐字必填欄位,不是可省略的過程細節(reporting.md §2 末段)。

鐵則

  • 任何一項標 ⚠️ 未驗證都可以,但用 ✅ 包裝沒驗證過的項目是最嚴重的違規。
  • 這份報告是給使用者的回報主體,不是附錄。
Changes

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.

  1. 14d ago First seen · 72 lines · 51 tokens per session scan A f76f0179e084

Subscribe to this mod's changes

verify is a skill published in the GitHub repository curtischoutw/claude-institution (5 stars, last pushed 14d ago), licensed MIT. It adds 51 tokens to every session and 1,173 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-03.

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