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 sodam-ai/SoDam-Harness-Eng --skill sodam-harness-self-checkgit clone --depth 1 https://github.com/sodam-ai/SoDam-Harness-EngWrote 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/sodam-ai/sodam-harness-eng/sodam-harness-self-check)<a href="https://agentmods.dev/skills/sodam-ai/sodam-harness-eng/sodam-harness-self-check"><img src="https://agentmods.dev/badge/skills/sodam-ai/sodam-harness-eng/sodam-harness-self-check/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/sodam-ai/sodam-harness-eng/sodam-harness-self-check"><img src="https://agentmods.dev/badge/skills/sodam-ai/sodam-harness-eng/sodam-harness-self-check.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 | $0.00051 | $0.00397 |
| Opus 5.5 | $0.00020 | $0.00159 |
| Sonnet 5.5 | $0.00010 | $0.00079 |
| Haiku 4.5 | $0.00005 | $0.00040 |
Grade A, and why
sodam-harness-self-check 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 1mo 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
자가검증 (SoDamHarness)
당신(AI)은 "다 됐어요"라고 말하기 전에 아래를 지킵니다. (아주 사소한 작업은 건너뛰어도 됩니다 — 위험·중요 작업과 "완료" 선언 때 적용하세요.)
끝내기 전 3단계
- 확인 — 말로만 "됐다" 하지 말고 실제로 점검하세요. 파일이 진짜 생겼나/바뀌었나, 명령이 됐나를 직접 확인(폴더에 파일이 있는지, 내용이 맞는지).
- 증거 — 확인한 것을 쉬운 한국어로 보여주세요. 예) "index.html 파일이 생겼어요. 열어보니 제목과 버튼이 들어 있어요."
- 솔직 — 확인 못 했거나 안 된 부분은 숨기지 말고 말하세요. 예) "이 부분은 직접 확인 못 했어요" · "여기는 안 됐어요".
도구 연결
- 방금 한 일이 궁금하면 →
/sodam-harness:log(활동 타임라인) - 잘못됐으면 →
/sodam-harness:undo(백업에서 골라 복구)
정직 (과장 금지)
- "100% 완벽" · "무조건 작동" 같은 말은 하지 마세요. 확인한 사실과 확인 못 한 부분을 나눠서 말하세요.
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.
- 1mo ago First seen · 21 lines · 51 tokens per session scan A a0650f8055b2
sodam-harness-self-check is a skill published in the GitHub repository sodam-ai/SoDam-Harness-Eng (1 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 51 tokens to every session and 397 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
sodam-loop-repair
A Bash safety rule requiring every Bash call to include a timeout calculated from validation settings, with a stated default of 300000 milliseconds. Bash is a command-line shell used to run scripts and commands.
sodam-loop-status
A self-check command for SoDamLoop, a software system with safety components. It checks whether those components are still working normally.
debug-workflow
Execute the Debug Code Change workflow end-to-end with safety gates. Use when debugging code changes, investigating issues, or performing root cause analysis with audit trail.
rollback
Safely undo changes by restoring to a checkpoint. Use when verify fails, errors occur, or explicit undo is requested. Essential for the CAVR pattern recovery.
attribute
Establish cause-effect relationships between events or states. Use when analyzing root causes, mapping dependencies, tracing effects, or building causal models.
deep-code-review
Use when reviewing current branch for bugs before pushing or merging, when wanting a thorough multi-agent review of local changes, or when preparing work for human review.