Borrowing it
Nothing to install: this file belongs to danielgap/openclaw-planitor. 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/danielgap/openclaw-planitor/main/.agents/skills/pipeline-orchestrator/SKILL.mdgit clone --depth 1 https://github.com/danielgap/openclaw-planitorWrote 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/danielgap/openclaw-planitor/pipeline-orchestrator)<a href="https://agentmods.dev/skills/danielgap/openclaw-planitor/pipeline-orchestrator"><img src="https://agentmods.dev/badge/skills/danielgap/openclaw-planitor/pipeline-orchestrator.svg" alt="Measured on agentmods" 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 | $0.00064 | $0.02288 |
| Opus 5 | $0.00032 | $0.01144 |
| Sonnet 5 | $0.00013 | $0.00458 |
| Haiku 4.5 | $0.00006 | $0.00229 |
Grade A, and why
pipeline-orchestrator 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 8d 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pipeline Orchestrator – Plan de Negocio
Skill maestro que coordina las 9 fases. NO ejecuta fases directamente — prepara prompt, delega vía sessions_spawn, valida output y decide si continuar o iterar.
Modelo por Fase
| Fase | Modelo |
|---|---|
| 1. BRIEF | glm-5-turbo |
| 1.5. MARKET GATE | glm-5-turbo |
| 2. GROUND-TRUTH | glm-5-turbo |
| 3. MARKET | glm-5.1 |
| 4. FINANCIALS | glm-5.1 |
| 5. STRATEGY (dual) | Razonator (GLM-5.1) + Visionator (GPT-5.5) |
| 6. BUILD (dual) | Razonator (GLM-5.1) + Visionator (GPT-5.5) |
| 7. INVESTOR PACK | glm-5.1 |
| 8. JUDGE (dual) | Razonator (GLM-5.1) + Visionator (GPT-5.5) |
| Orchestrator | glm-5.1 |
Orden de Ejecución
| # | Fase | Input | Output |
|---|---|---|---|
| 1 | BRIEF | Petición de el usuario | BRIEF.json |
| 1.5 | MARKET GATE | BRIEF.json |
MARKET-GATE.json |
| 2 | GROUND-TRUTH | BRIEF.json + MARKET-GATE.json |
GROUND-TRUTH.json |
| 3 | MARKET | GROUND-TRUTH.json + MARKET-GATE.json |
MARKET-ANALYSIS.json |
| 4 | FINANCIALS | GROUND-TRUTH.json + MARKET-ANALYSIS.json |
FINANCIALS.json |
| 5 | STRATEGY* | Todo anterior | strategy/STRATEGY-A.json + STRATEGY-B.json → STRATEGY.json |
| 6 | BUILD* | Todo anterior | build/PLAN-A.md + PLAN-B.md → plan-final.md |
| 7 | INVESTOR PACK | Todo anterior | investor-evidence-pack.md |
| 8 | JUDGE* | Documento + artefactos + evidence pack | judge/JUDGE-A.json + JUDGE-B.json → JUDGE-REPORT.json + FEEDBACK-FOR-RERUN.json |
*Las fases marcadas con asterisco son dual-LLM.
Ejecución de cada fase:
- Preparar prompt con el input correcto (artefacto de la fase anterior)
sessions_spawncon el prompt y modelo correspondiente- Esperar resultado (push-based)
- Validar que el output se generó correctamente
- Validar JSON: Si el output es un
.json, ejecutar inmediatamente:
Si falla → corregir y reintentar generación antes de pasar a la siguiente fase.python3 -c "import json; json.load(open('PATH/TO/ARTIFACT.json'))" - Si falla → reintentar 1 vez → si vuelve a fallar → escalar a el usuario
- Si ok → pasar a la siguiente fase
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.
- 8d ago First seen · 186 lines · 64 tokens per session scan A a64567f44598
pipeline-orchestrator is a skill published in the GitHub repository danielgap/openclaw-planitor (5 stars, last pushed 4mo ago), licensed MIT. It adds 64 tokens to every session and 2,288 once invoked, about $0.0003 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…