Borrowing it
Nothing to install: this file belongs to HyperAITeam/CLITrigger. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/HyperAITeam/CLITrigger/main/.claude/skills/verify-implementation/SKILL.mdgit clone --depth 1 https://github.com/HyperAITeam/CLITriggerWrote 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/hyperaiteam/clitrigger/verify-implementation)<a href="https://agentmods.dev/skills/hyperaiteam/clitrigger/verify-implementation"><img src="https://agentmods.dev/badge/skills/hyperaiteam/clitrigger/verify-implementation/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/hyperaiteam/clitrigger/verify-implementation"><img src="https://agentmods.dev/badge/skills/hyperaiteam/clitrigger/verify-implementation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 236 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00037 | $0.01753 |
| Opus 5.5 | $0.00015 | $0.00701 |
| Sonnet 5.5 | $0.00007 | $0.00351 |
| Haiku 4.5 | $0.00004 | $0.00175 |
Grade A, and why
verify-implementation 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 2mo 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 — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
구현 검증
목적
프로젝트에 등록된 모든 verify-* 스킬을 순차적으로 실행하여 통합 검증을 수행합니다:
- 각 스킬의 Workflow에 정의된 검사를 실행
- 각 스킬의 Exceptions를 참조하여 false positive 방지
- 발견된 이슈에 대해 수정 방법을 제시
- 사용자 승인 후 수정 적용 및 재검증
실행 시점
- 새로운 기능을 구현한 후
- Pull Request를 생성하기 전
- 코드 리뷰 중
- 코드베이스 규칙 준수 여부를 감사할 때
실행 대상 스킬
이 스킬이 순차 실행하는 검증 스킬 목록입니다. /manage-skills가 스킬을 생성/삭제할 때 이 목록을 자동 업데이트합니다.
(아직 등록된 검증 스킬이 없습니다)
워크플로우
Step 1: 소개
위의 실행 대상 스킬 섹션에 나열된 스킬을 확인합니다.
선택적 인수가 제공된 경우, 해당 스킬만 필터링합니다.
등록된 스킬이 0개인 경우:
## 구현 검증
검증 스킬이 없습니다. `/manage-skills`를 실행하여 프로젝트에 맞는 검증 스킬을 생성하세요.
이 경우 워크플로우를 종료합니다.
등록된 스킬이 1개 이상인 경우:
실행 대상 스킬 테이블의 내용을 표시합니다:
## 구현 검증
다음 검증 스킬을 순차 실행합니다:
| # | 스킬 | 설명 |
|---|------|------|
| 1 | verify-<name1> | <description1> |
| 2 | verify-<name2> | <description2> |
검증 시작...
Step 2: 순차 실행
실행 대상 스킬 테이블에 나열된 각 스킬에 대해 다음을 수행합니다:
2a. 스킬 SKILL.md 읽기
해당 스킬의 .claude/skills/verify-<name>/SKILL.md를 읽고 다음 섹션을 파싱합니다:
- Workflow — 실행할 검사 단계와 탐지 명령어
- Exceptions — 위반이 아닌 것으로 간주되는 패턴
- Related Files — 검사 대상 파일 목록
2b. 검사 실행
Workflow 섹션에 정의된 각 검사를 순서대로 실행합니다:
- 검사에 명시된 도구(Grep, Glob, Read, Bash)를 사용하여 패턴 탐지
- 탐지된 결과를 해당 스킬의 PASS/FAIL 기준에 대조
- Exceptions 섹션에 해당하는 패턴은 면제 처리
- FAIL인 경우 이슈를 기록:
- 파일 경로 및 라인 번호
- 문제 설명
- 수정 권장 사항 (코드 예시 포함)
2c. 스킬별 결과 기록
각 스킬 실행 완료 후 진행 상황을 표시합니다:
### verify-<name> 검증 완료
- 검사 항목: N개
- 통과: X개
- 이슈: Y개
- 면제: Z개
[다음 스킬로 이동...]
Step 3: 통합 보고서
모든 스킬 실행 완료 후, 결과를 하나의 보고서로 통합합니다:
## 구현 검증 보고서
### 요약
| 검증 스킬 | 상태 | 이슈 수 | 상세 |
|-----------|------|---------|------|
| verify-<name1> | PASS / X개 이슈 | N | 상세... |
| verify-<name2> | PASS / X개 이슈 | N | 상세... |
**발견된 총 이슈: X개**
모든 검증 통과 시:
모든 검증을 통과했습니다!
구현이 프로젝트의 모든 규칙을 준수합니다:
- verify-<name1>: <통과 내용 요약>
- verify-<name2>: <통과 내용 요약>
코드 리뷰 준비가 완료되었습니다.
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.
- 2mo ago First seen · 238 lines · 37 tokens per session scan A 72b2fc02832c
verify-implementation is a skill published in the GitHub repository HyperAITeam/CLITrigger (14 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 1,753 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
verification-and-release
Design risk-based verification and judge release readiness from traceable evidence. Use when deciding what must be proven or whether an integrated change can ship.
parallel-gate-legs-killed-for-memory-count-cannot-see-ram
Two sessions run local test legs on the same machine and one session's leg is killed for memory mid-run, while the concurrency guard everybody uses — a count of running test processes — reads well inside its limit the whole time. Use when: (1) a background test run ends with a harness notice like "stopped because the…
subagent-pre-existing-misattribution
Catch subagent reviewers misattributing test failures across the pre-existing / PR-introduced boundary — in BOTH directions. Use when: (1) a multi-task subagent-driven plan reports "N pre-existing failures, unrelated" across consecutive tasks and the count never changes, (2) an architectural / final reviewer at the…
clean-merge-lands-line-guard-on-a-value-neither-branch-predicted
Two branches each contain a guard, test or document that pins a line NUMBER in a third file, each side correctly re-aims that number for its own tree, and git merges both edits with NO conflict — leaving a merged tree whose real line can be neither number. Use when: (1) two parallel PRs both insert or delete lines in…
isolate-subagent-verification-from-live-worktree
A verification / gate-running subagent you dispatched into YOUR OWN worktree silently measures the branch PLUS your uncommitted edits, and reports the mixture as the branch's result. Nothing is clobbered and nothing errors — the suite really ran, the counts are real, they are just counts of a tree nobody will ever…
prove-test-failures-pre-existing-via-clean-worktree
After making a change you run the test suite and it shows failures — especially in files/areas your diff never touched, or a count that "feels unrelated." Before you either panic-debug them OR wave them off as "probably pre-existing," PROVE it: run the exact failing tests against a clean checkout of origin/main (a…