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 MauricioPerera/KDD --skill delegar-glm-ccddgit clone --depth 1 https://github.com/MauricioPerera/KDDWrote 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/mauricioperera/kdd/delegar-glm-ccdd)<a href="https://agentmods.dev/skills/mauricioperera/kdd/delegar-glm-ccdd"><img src="https://agentmods.dev/badge/skills/mauricioperera/kdd/delegar-glm-ccdd/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/mauricioperera/kdd/delegar-glm-ccdd"><img src="https://agentmods.dev/badge/skills/mauricioperera/kdd/delegar-glm-ccdd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 8 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 15 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00121 | $0.01223 |
| Opus 5 | $0.00060 | $0.00611 |
| Sonnet 5 | $0.00024 | $0.00245 |
| Haiku 4.5 | $0.00012 | $0.00122 |
Grade A, and why
delegar-glm-ccdd 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.
How it starts
The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Delegar UNA tarea a glm-5.2:cloud con CCDD gate
Capa mínima sobre delegar-ollama (mecánica de lanzamiento/probe/anti-cuelgue, agnóstica al modelo) + el contrato CCDD definido en kdd-okf-ccdd-hybrid (7 secciones + frontmatter, si el repo usa KDD). Esta skill NO reescribe esos dos — solo fija model=glm-5.2:cloud y agrega lo específico de delegar UNA tarea suelta.
Rol (inviolable)
- Yo NO implemento. Interpreto el pedido, lo traduzco a una instrucción clara, delego a
glm-5.2:cloudvíadelegar-ollama, y verifico el resultado yo mismo (nunca me fío del reporte de glm). - Recibir → traducir → un solo comando de delegación → reportar → pedir la siguiente decisión. No cuestionar de más ni re-validar enfoque salvo que el usuario lo pida.
Cómo delegar
Usá el comando base y el probe de delegar-ollama con <MODEL>=glm-5.2:cloud. Si la tarea usa CCDD: contrato con las 7 secciones (ver kdd-okf-ccdd-hybrid) + property-tests congelados, validar con lint_task_contract y correr run_integration_gate hasta PASS sobre los archivos REALES del repo. Nunca run_ephemeral_agent apuntando al repo real: corre en un sandbox tempdir que VACÍA el directorio y puede destruir archivos.
Lecciones específicas de GLM (no de la mecánica de Ollama, ver delegar-ollama para esa)
- GLM copia el REGISTRO del prompt, no el del repo (verificado 2026-07-04): un prompt en voseo produjo docs en voseo dentro de un repo en tuteo, aunque el prompt pedía "tono consistente con el README". Si el registro importa, decilo EXPLÍCITO con ejemplo ("tuteo: 'explora', no 'explorá'") o asumí el retoque al integrar.
- El gate lo puedo correr YO al verificar (verificado 2026-07-04): si tengo el MCP
ccdd-complexityen MI sesión, es más barato dar a GLM MCP vacío + hecho verificable por suite/comandos, y correr yolint_task_contractsobre el entregable final. Gate-en-GLM solo cuando GLM deba ITERAR contra el gate (funciones nuevas complejas), no para validar un artefacto terminado. - Tareas de docs/texto → hecho por greps de presencia Y ausencia (verificado 2026-07-04):
grep -n "<clave>" <files>(hit obligatorio) +grep -rn "<prohibido>" <files> || echo SIN_MENCIONES+ suite verde. GLM pega la salida real; yo re-corro los mismos greps.
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 · 41 lines · 121 tokens per session scan A 587e9f5604b3
delegar-glm-ccdd is a skill published in the GitHub repository MauricioPerera/KDD (8 stars, last pushed 3d ago), licensed MIT. It adds 121 tokens to every session and 1,223 once invoked, about $0.0006 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 2026-08-31.
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