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 chohra-med/expo_boilerplate --skill spec-harness-buildgit clone --depth 1 https://github.com/chohra-med/expo_boilerplateWrote 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/chohra-med/expo_boilerplate/spec-harness-build)<a href="https://agentmods.dev/skills/chohra-med/expo_boilerplate/spec-harness-build"><img src="https://agentmods.dev/badge/skills/chohra-med/expo_boilerplate/spec-harness-build/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/chohra-med/expo_boilerplate/spec-harness-build"><img src="https://agentmods.dev/badge/skills/chohra-med/expo_boilerplate/spec-harness-build.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.00350 |
| Opus 5 | $0.00000 | $0.00175 |
| Sonnet 5 | $0.00000 | $0.00070 |
| Haiku 4.5 | $0.00000 | $0.00035 |
Grade A, and why
spec-harness-build 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 12d 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
spec-harness-build
Execute tasks.md one task at a time. Per task: implementer writes the minimum diff → tester runs the suite → verifier (separate, clean context) checks against goal.md → reviewer checks scope/style. FAIL → fix + route the cause to learn. Never batch tasks past a failing verifier.
Run it
- Load the full procedure — read the command doc and follow it exactly:
.claude/commands/spec-harness/build.md(this repo) or the spec-harness sourcecommands/build.md. - Agents — spawn from
.claude/agents/: implementer, tester, verifier, reviewer. - Stay inside the 3 pillars — memory bank (
.memory/) · Spec-Driven Development · Harness (ratchetAGENTS.md+ verifier + learning loop). ReadSPEC-HARNESS.mdfor how this repo is wired.
Non-negotiables
- The ratchet only tightens (rules are append/sharpen, never drop).
- Nothing is "done" until the separate verifier returns PASS against
goal.md. - Every correction or FAIL cause goes through
spec-harness-learn→ a dated rule. - Never scaffold the second-brain vault. Never commit a client repo unless asked.
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.
- 12d ago First seen · 21 lines · 0 tokens per session scan A d07b619a5e18
spec-harness-build is a skill published in the GitHub repository chohra-med/expo_boilerplate (34 stars, last pushed 11d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 350 tokens. 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.
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