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.
git clone --depth 1 https://github.com/SienkLogic/plan-build-runWrote 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/sienklogic/plan-build-run/review)<a href="https://agentmods.dev/commands/sienklogic/plan-build-run/review"><img src="https://agentmods.dev/badge/commands/sienklogic/plan-build-run/review/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/commands/sienklogic/plan-build-run/review"><img src="https://agentmods.dev/badge/commands/sienklogic/plan-build-run/review.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 | $0.00014 | $0.00033 |
| Opus 5 | $0.00007 | $0.00016 |
| Sonnet 5 | $0.00003 | $0.00007 |
| Haiku 4.5 | $0.00001 | $0.00003 |
Grade A, and why
review 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 5d 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
This command is provided by the pbr:review skill.
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.
- 5d ago First seen · 6 lines · 14 tokens per session scan A 88d237f09489
review is a command published in the GitHub repository SienkLogic/plan-build-run (17 stars, last pushed 5mo ago), licensed MIT. It adds 14 tokens to every session and 33 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 2026-09-03.
Other commands, from other repositories
especificar
Crear especificaciones Gherkin desde un requerimiento/requisito. Usa cuando el usuario dice "escribir specs", "especificar feature", "crear Gherkin", "escribir requerimientos", "write specs", "requirements to Gherkin", "escribir scenarios", "documentar feature en Gherkin". Genera DBML schema auto-máticamente para…
implementar
Ejecutar tareas TDD fase por fase dentro de Docker hasta que todos los tests pasen.
spec-score
Puntuación cuantitativa de calidad de especificaciones (0-100) con 8 métricas. Usa cuando el usuario dice "spec score", "quality score", "spec quality", "completitud de specs", "IEEE 830", "ISO 29148", "spec assessment", "medir calidad specs". Score de 0-100 con 8 métricas: completitud, consistencia, verificabilidad…
desglosar
Dividir un blueprint técnico en tareas con TDD (RED→GREEN) y marcadores de paralelismo.
drift
Detectar divergencias entre specs Gherkin e implementación (spec drift). Usa cuando el usuario dice "spec drift", "drift detection", "spec vs código", "conformance check", "spec deviation", "código no matchea specs", "implementation diverged", "spec vs implementation", "verificar specs". Compara features implementadas…
tea
Testing Autónomo End-to-End (TEA): genera, ejecuta y reporta tests automáticamente. Usa cuando el usuario dice "E2E test", "test end-to-end", "correr tests", "generar tests", "testing suite", "run tests", "automated testing", "pruebas E2E", "test coverage", "regression testing". Detecta el framework de testing del…