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/archive228/loopkit/verifygit clone --depth 1 https://github.com/Archive228/loopkitWhat 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 | $0.00029 | $0.00464 |
| Opus 5 | $0.00015 | $0.00232 |
| Sonnet 5 | $0.00006 | $0.00093 |
| Haiku 4.5 | $0.00003 | $0.00046 |
Grade A, and why
verify 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 yesterday.
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
/verify — adversarial verification pass
Assume the diff is broken. Prove it isn't.
Steps
-
Load the goal spec:
- Read
PROMPT.mdif it exists. If it does not, readIMPLEMENTATION_PLAN.md. - If neither exists, stop and tell the user to run
/specfirst. Do not verify against an absent contract.
- Read
-
Load the current diff:
git diff HEAD— uncommitted changes.git log --oneline -5— recent context.
-
Invoke the
adversarial-verifyskill by readingskills/adversarial-verify/SKILL.md(repo layout) or.claude/skills/adversarial-verify/SKILL.md(installed layout). Walk the 11 shortcut checklist verbatim against the diff, plus the 4 environmental tells indocs/checklists/red-flags.md. -
Dispatch the
verifiersubagent (.claude/agents/verifier.md) for a second, cold-context pass on the same diff. -
Return a single JSON verdict, and nothing else:
{"passes": bool, "failures": [{"file": str, "line": int, "shortcut": str, "why": str}]} -
If
passesis false: do NOT commit, do NOT mark the task done, print the failure list, and stop.
Never
- Propose fixes in this pass. Verification is separate from repair — mixing them lets the model rationalize.
- Run application code. Read-only tools only.
- Be polite. Politeness is how "fake done" ships.
- Skip the shortcut checklist because "the diff is small".
Exit contract
Non-zero exit on any failure. The run.sh loop treats non-zero as "not done" and re-runs the next turn.
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.
- yesterday First seen · 39 lines · 29 tokens per session scan A 807a10fdc8dc
verify is a command published in the GitHub repository Archive228/loopkit (753 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 464 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 2026-08-30.
Other commands, from other repositories
verify
Adversarial spec-vs-implementation verification for a completed task. Dispatches the spec-mentor subagent with fresh context (no anchoring bias), parses its verdict (PASS / DRIFT / NEEDS-MARTY), and updates the verification queue. The v7.4.0 architectural replacement for a dedicated "mentor session.".
research
Enter RESEARCH mode for information gathering.
criar-skill
Use when creating new skills, automations, or specialized knowledge packages. Keywords: criar skill, nova skill, automatizar, conhecimento, TDD skill.
research
Delegate a thorough research investigation to the agy:runner subagent.
station
You are helping the user work with Station - the self-hosted AI agent orchestration platform.
delegate
Delegate investigation, an explicit fix request, or follow-up work to the Grok delegate subagent.