Borrowing it
Nothing to install: this file belongs to richlira/claude-code-workshop-gdl-practica. 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/richlira/claude-code-workshop-gdl-practica/main/.claude/skills/rubric-review/SKILL.mdgit clone --depth 1 https://github.com/richlira/claude-code-workshop-gdl-practicaWrote 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/richlira/claude-code-workshop-gdl-practica/rubric-review)<a href="https://agentmods.dev/skills/richlira/claude-code-workshop-gdl-practica/rubric-review"><img src="https://agentmods.dev/badge/skills/richlira/claude-code-workshop-gdl-practica/rubric-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/skills/richlira/claude-code-workshop-gdl-practica/rubric-review"><img src="https://agentmods.dev/badge/skills/richlira/claude-code-workshop-gdl-practica/rubric-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 | $0.00025 | $0.00193 |
| Opus 5.5 | $0.00010 | $0.00077 |
| Sonnet 5.5 | $0.00005 | $0.00039 |
| Haiku 4.5 | $0.00003 | $0.00019 |
Grade A, and why
rubric-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 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.
What it actually says
Revisa $ARGUMENTS con este rubric, 0 a 2 puntos cada criterio:
- Correctness · ¿hace lo que promete? ¿casos borde?
- Seguridad · ¿secretos, inyección, validación de inputs?
- Legibilidad · ¿nombres claros, funciones cortas?
- Tests · ¿happy path y al menos un error cubiertos?
- Simplicidad · ¿hay código que sobra?
Entrega:
- Tabla con el puntaje por criterio y total sobre 10
- Los 3 hallazgos más importantes, priorizados, con archivo:línea
- El fix concreto de cada hallazgo
No modifiques archivos: esto es un review, no un fix.
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 · 20 lines · 25 tokens per session scan A 16ce06fa7d2e
rubric-review is a skill published in the GitHub repository richlira/claude-code-workshop-gdl-practica (6 stars, last pushed 2mo ago), licensed MIT. It adds 25 tokens to every session and 193 once invoked, about $0.0001 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.
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