Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/danielgap/openclaw-planitornpx agentmods add skills/danielgap/openclaw-planitor/pipeline-investor-packWrote 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-investor-pack)<a href="https://agentmods.dev/skills/danielgap/openclaw-planitor/pipeline-investor-pack"><img src="https://agentmods.dev/badge/skills/danielgap/openclaw-planitor/pipeline-investor-pack/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/danielgap/openclaw-planitor/pipeline-investor-pack"><img src="https://agentmods.dev/badge/skills/danielgap/openclaw-planitor/pipeline-investor-pack.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 | $0.00058 | $0.02021 |
| Opus 5.5 | $0.00023 | $0.00808 |
| Sonnet 5.5 | $0.00012 | $0.00404 |
| Haiku 4.5 | $0.00006 | $0.00202 |
Grade A, and why
pipeline-investor-pack 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 — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pipeline — FASE 7.5: Investor Evidence Pack
Genera un documento conciso (8-10 páginas) diseñado para inversores y bancos. No reemplaza el plan completo — lo vende. El plan largo es el anexo; el evidence pack es la presentación.
Cuándo se ejecuta
Después de FASE 7 (BUILD). Antes de FASE 9 (JUDGE).
Input
| Fuente | Ruta |
|---|---|
| Plan final | projects/{proyecto}/plan-final.md |
| Market Gate | projects/{proyecto}/v{n}/MARKET-GATE.json |
| Market Analysis | projects/{proyecto}/v{n}/MARKET-ANALYSIS.json |
| Financials | projects/{proyecto}/v{n}/FINANCIALS.json |
| Strategy | projects/{proyecto}/v{n}/strategy/STRATEGY.json |
| Todos los artefactos | projects/{proyecto}/v{n}/ |
Output
| Producto | Ruta |
|---|---|
| Investor Evidence Pack | projects/{proyecto}/v{n}/investor-evidence-pack.md |
Propósito
Un inversor no empieza por 30 páginas. Necesita un paquete de evidencia contundente que responda en 8-10 páginas:
- ¿Es esto una oportunidad real?
- ¿Puedo creer en los números?
- ¿Qué riesgo asumo y cómo se mitiga?
- ¿Cuál es el próximo hito y cuánto cuesta?
Estructura del Investor Evidence Pack (8-10 páginas)
Página 1: Tesis de Inversión
Una frase que captura la oportunidad.
- Tesis en 1 frase: "Invertir en X porque Y con prueba Z"
- Problema local demostrado (con dato)
- Solución propuesta (1 párrafo)
- Ask: cuánto, para qué, qué desbloquea
Página 2: Problema y Oportunidad
- Problema concreto que existe hoy (con evidencia)
- Tamaño del mercado: TAM / SAM / SOM (con fuentes)
- Timing: ¿por qué ahora? (tendencias, cambios regulatorios, tecnología)
- Ventana de oportunidad
Página 3: Tracción y Validación
- Evidencia de demanda (aunque sea pre-apertura):
- Encuestas realizadas, personas contactadas
- Depósitos / pre-reservas / listas de espera
- Cartas de intención (LOIs) de partners
- Benchmark de validación pre-apertura
- Si no hay tracción real → ser honesto: "Plan pre-validación, requiere Fase 0"
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 · 197 lines · 58 tokens per session scan A 75223b181988
pipeline-investor-pack is a skill published in the GitHub repository danielgap/openclaw-planitor (5 stars, last pushed 6mo ago), licensed MIT. It adds 58 tokens to every session and 2,021 once invoked, about $0.0002 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
dcf-model
Build discounted cash flow valuation workbooks in Excel.
comps-analysis
Build comparable-company valuation workbooks in Excel.
tear-sheet
Generate professional company tear sheets using S&P Capital IQ data via the Kensho LLM-ready API MCP server. Use this skill whenever the user asks for a tear sheet, company one-pager, company profile, fact sheet, company snapshot, or company overview document — especially when they mention a specific company name or…
pitch-deck
Populates investment banking pitch deck templates with data from source files. Use when: user provides a PowerPoint template to fill in, user has source data (Excel/CSV) to populate into slides, user mentions populating or filling a pitch deck template, or user needs to transfer data into existing slide layouts. Not…
lbo-model
This skill should be used when completing LBO (Leveraged Buyout) model templates in Excel for private equity transactions, deal materials, or investment committee presentations. The skill fills in formulas, validates calculations, and ensures professional formatting standards that adapt to any template structure.
ppt-template-creator
Creates self-contained PPT template SKILLS (not presentations) from user-provided PowerPoint templates. Use ONLY when a user wants to create a reusable skill from their template. For creating actual presentations, use the pptx skill instead.