Borrowing it
Nothing to install: this file belongs to dbareagimeno/enu. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dbareagimeno/enu/develop/.claude/skills/sesion/SKILL.mdgit clone --depth 1 https://github.com/dbareagimeno/enuWrote 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/dbareagimeno/enu/sesion)<a href="https://agentmods.dev/skills/dbareagimeno/enu/sesion"><img src="https://agentmods.dev/badge/skills/dbareagimeno/enu/sesion/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/dbareagimeno/enu/sesion"><img src="https://agentmods.dev/badge/skills/dbareagimeno/enu/sesion.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 | $0.00092 | $0.01403 |
| Opus 5.5 | $0.00037 | $0.00561 |
| Sonnet 5.5 | $0.00018 | $0.00281 |
| Haiku 4.5 | $0.00009 | $0.00140 |
Grade A, and why
sesion 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 2mo 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.
Sesión de implementación (BDD → TDD → juicio → DoD)
Una sesión = una feature. El estado vive en el repo, no en tu memoria. Este
protocolo envuelve el de docs/plan/implementacion.md §"Protocolo de cada sesión"
con las disciplinas BDD y TDD y el juicio clean-room.
Pasos
-
Sitúate. Lee el puntero ▶ y «Último cierre» en
docs/plan/estado.md(el estado vivo); el registro por sesión —dónde se quedó lo anterior— vive endocs/worklog/(un fichero por sesión + índice). El detalle de la sesión —su enunciado, dependencias y fase— está endocs/plan/implementacion.md. Implementa solo la sesión que marca el puntero; verifica que sus dependencias ("Depende de") están cerradas. Si el puntero está en—, no hay nada que implementar: ofrece/planificar-sesion. Crea el worktree y la rama de la tarea conEnterWorktreey renombra la rama aclaude/<tema>— la convención completa vive en CLAUDE.md §"Convenciones de Git". -
Escenarios BDD (antes de una línea de código). Lanza el agente
escenarista-bdden modo sesión con la S## y sus §N de espec. Revisa los escenarios devueltos: son tu lista de casos. Si el escenarista reporta un candidato a hallazgo (la espec no da para escribir un escenario), trátalo ya:/hallazgo. Los escenarios que blindan un G## lo nombran en comentario. -
TDD: rojo → verde → refactor.
- Rojo: escribe los escenarios como subtests table-driven
(
t.Run("dado_X_cuando_Y_entonces_Z", ...),testingestándar, sin testify) y compruébalos fallar por la razón correcta. - Verde: el mínimo que cumple la espec — la firma y semántica exactas del §N, marcadores ⏸/[W] incluidos, ni una función de más.
- Refactor con los tests en verde.
- Si la API no basta para implementar la espec: PÁRATE. Es un hallazgo
G##:
/hallazgoprimero (documentos), código después. Nunca al revés.
- Rojo: escribe los escenarios como subtests table-driven
(
-
Mutación (solo sesiones 🔒). Si la sesión está en el inventario 🔒 (
docs/plan/inventario-tests.md), ejecuta/mutacionacotada a los ficheros tocados. Cada mutante LIVED: o un test nuevo que lo mata, o queda anotado como equivalente en el worklog de la sesión.
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.
- 2mo ago First seen · 81 lines · 92 tokens per session scan A 7aa791b44fba
sesion is a skill published in the GitHub repository dbareagimeno/enu (2 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 92 tokens to every session and 1,403 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-31.
Other skills, from other repositories
tdd
Test-driven development — write a failing test that names the behavior, watch it fail, implement the minimum to make it pass, then refactor with tests green. Works for new features, bug fixes, and behavior changes. Use when the user says "tdd", "test-first", "write tests first", or wants a change built test-first.
tdd
Test-driven development — write the failing test first, then the code. Triggers on TDD, test first, write tests, test-driven.
systematic-debugging
4-phase root cause debugging: understand bugs before fixing.
test-driven-development
TDD: enforce RED-GREEN-REFACTOR, tests before code.
bad-case-to-dpo
A guide to turning failed production agent runs into training and evaluation data. It explains how to find the first mistake, create preference examples for DPO (Direct Preference Optimization), and check that a fix does not damage other tasks.
resolve-author-fix
Find the root cause, implement a focused fix, and prove behavior with targeted tests and recordings.