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/redtropig/harness-anchor/verifygit clone --depth 1 https://github.com/Redtropig/harness-anchorWrote 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/commands/redtropig/harness-anchor/verify)<a href="https://agentmods.dev/commands/redtropig/harness-anchor/verify"><img src="https://agentmods.dev/badge/commands/redtropig/harness-anchor/verify.svg" alt="Measured on agentmods" 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 | $0.00063 | $0.01038 |
| Opus 5 | $0.00032 | $0.00519 |
| Sonnet 5 | $0.00013 | $0.00208 |
| Haiku 4.5 | $0.00006 | $0.00104 |
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 6d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/verify
Run the project's full verification suite via a fresh-context subagent and produce an evidence-based report.
This is the Anthropic three-agent architecture's "evaluator" role — independent from the code-writing agent so leniency bias is minimized.
Steps
-
Dispatch
verification-runnersubagent via theTasktool:Task tool with: subagent_type: verification-runner prompt: Verify the active feature in feature_list.json. Use the project's documented verification commands from AGENTS.md if present; otherwise infer from project type (cmake, npm, cargo, etc.). Follow the fixed report format in your skill instructions. Do not modify code. -
Receive the report. It will be structured as
### Build,### Tests,### Integrity,### Verdict,### Recommendationsections. -
Surface the report to the user verbatim — do not paraphrase. The point of fresh-context evaluation is the user sees the evaluator's actual words.
-
If verdict is READY TO MARK PASS:
- Ask the user: "Verifier reports ready to mark as pass. Update feature_list.json now?"
- On yes: invoke
feature-state-keeperskill behaviour to update with the evidence object from the report
-
If verdict is NOT READY:
- Surface the specific failing criteria
- Offer: (a) opt into the bounded auto-fix loop (see "
--fixmode" below), (b) fix manually and re-run/verify, or (c) leave as-is and end the session
--fix mode (opt-in auto-fix loop)
Default /verify is read-only. Enter auto-fix ONLY when the user explicitly opts in —
/verify --fix (the --fix token is in the command arguments) or a direct request like
"verify and fix what you can." Never enter this mode on a bare /verify.
When opted in AND the verdict is NOT READY, run a bounded fix→re-verify loop:
- Read the
### Recommendationfrom the report — the failing criteria + suggested next commands. That is your only sanctioned fix scope. - Apply fixes for that scope, transparently — show each change (file + short diff or description). Do NOT touch anything outside the recommendation; if a real fix would require that, STOP and ask the user first.
- Re-verify with a FRESH
verification-runner— a newTaskdispatch, not the prior subagent's context. Independence per cycle is the point: a fresh evaluator can't inherit the fixing agent's optimism. - Decide:
- READY → report "converged after N cycle(s)", list every change applied, then offer the feature_list.json update (step 4 above).
- NOT READY and cycles completed < 2 → run one more cycle (back to 1).
- NOT READY after 2 cycles → STOP. Report honestly: what each cycle tried, what was applied, and the remaining failures with evidence paths. Never claim pass; never start a 3rd cycle.
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.
- 6d ago First seen · 81 lines · 63 tokens per session scan A e64c8baf27c6
verify is a command published in the GitHub repository Redtropig/harness-anchor (13 stars, last pushed 1mo ago), licensed MIT. It adds 63 tokens to every session and 1,038 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 2026-08-30.
Other commands, from other repositories
verify
Run verification loop to validate implementation.
test-tdd
Run when user calls /test-tdd. Scans modified files, locates their corresponding unit/integration test suites, and runs them.
ci-debug
Diagnose a failing CI run against an 11-pattern playbook. Classifies the failure, cites the relevant memory entry, proposes the exact fix command — but NEVER applies without explicit user approval. Use when a specific PR check or GitHub Actions run failed and you want a diagnosis instead of speculation. Don't use for…
fire-verify-uat
Conversational User Acceptance Testing with automatic parallel diagnosis on failures.
simplify-fn
Refactor a complex function to reduce cyclomatic complexity.
fix-test
Auto-diagnose and fix failing tests — identifies root causes and applies fixes.