reverse-skill
reverse-skill: rendimiento y coste de ruta, herramientas y evidencia
Benchmark de latencia, índice, inicialización, artefactos, informes y tiempo de analista.
Qué aprenderás
- Design a safe reverse-skill benchmark
- Allocate infrastructure and review cost
- Interpret speed versus evidence quality
Antes de empezar
- Basic Git and command-line usage
- Comfort reading a project README
You can explain the project, run its documented first step, and decide what to verify before adopting it.
Conclusiones clave
- Benchmark complete authorized cases and separate routing from tool startup.
- Include infrastructure, optional tool, storage, CI, and analyst-review cost.
- Never trade away scope, evidence, or review gates for speed.
Choose safe benchmark units
Mide frío/caliente, índice, arranque, hash, p50/p95, fallos, CI y revisión con fixtures seguras; calcula coste por informe aceptado sin eliminar gates de autorización o evidencia.
Pin OS, shell, Node/Python/Java versions, reverse-skill commit, tool-index state, fixture size, and client. Cold and warm runs answer different questions; label caches, downloads, and skipped tools explicitly.
Separate routing from tool cost
Record p50/p95 route time, rule count, index parsing, selected skill load, process startup, artifact bytes, hash time, report size, and failure/retry rate. A slow result may come from a fresh tool index or JVM startup rather than routing logic.
For multi-tool scenarios, report critical-path and parallelizable work separately. Never optimize by removing authorization, evidence, or review gates; those are correctness controls, not incidental overhead.
Price analyst and infrastructure time
Total cost includes host resources, optional licensed tools, storage, backups, network egress, CI minutes, and analyst triage/review. Calculate cost per accepted report or resolved finding, not per command, and keep estimates distinct from metered values.
Compare a pinned baseline with a candidate route or script change using the same fixture and expected evidence. A faster route that produces weaker provenance or more manual cleanup is not an improvement.
Publish an evidence-backed report
Store raw timings, tool-index snapshot, fixture hash, environment, route decision, output hashes, and review notes. Set budgets for route latency, disk retention, CI minutes, and case review time, then canary changes through the 173-case regression suite.
Cómo elegir
| Criterio | Opción A | Opción B |
|---|---|---|
| Best when | You need predictable behavior and easy auditing | You need adaptive optimization and have reliable telemetry |
| Main risk | May leave performance on the table | Can become difficult to explain or debug |
Pasos de implementación
- 1
Pin host, commit, tool index, fixture, and client.
- 2
Measure cold/warm routing, index, case, artifact, evidence, and report paths.
- 3
Calculate p50/p95, bytes, failures, CI, and human review cost.
- 4
Canary changes and publish raw receipts with acceptance criteria.
Ejemplo para copiar
hint -> route p50/p95 -> tool/index startup
case-init -> artifact/hash -> report
resources + analyst review -> cost per accepted reportPreguntas frecuentes
Is route latency the only performance metric?
No. Include tool discovery, case setup, artifact/evidence processing, report generation, failures, and analyst time.
Can I benchmark live pentesting targets?
Only with explicit authorization and a written scope; article fixtures should remain harmless and local.
Fuentes
- reverse-skill README (captured 2026-08-31)Fuente verificada 2026-08-31
- reverse-skill repositoryFuente verificada 2026-08-31