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/wordly-wisdom

@3323bc9
by Tristan Manchestertristanmanchester/agent-skills3 stars
2
Run it yourself

Analyse consequential choices with outside views, incentives, inversion, scenario arithmetic, opportunity costs, and explicit update conditions. Use for decision memos, premortems, strategy choices, or a requested red-team; not routine factual questions or a reason to overanalyse a small decision.

Use this Skill: https://skilld.dev/gh/tristanmanchester/agent-skills/wordly-wisdom

Nothing lands on disk. Nothing to clean up.

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Edit a local copy. It keeps the author and licence.

referencesevaluation-prompts.md

≈345 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Evaluation Prompts

Use these to test whether the skill triggers at the right times.

Should trigger

  1. Give me the oracle take on whether I should buy this small business.
  2. What am I missing in this product strategy?
  3. Premortem this hiring plan.
  4. Think this through properly: join the startup or stay where I am?
  5. Write a decision memo comparing these three suppliers.
  6. Stress-test my acquisition thesis.
  7. Build me an outside-view forecast for this launch.
  8. Analyse the incentives in this partnership.
  9. Red-team this plan and tell me what would change your mind.
  10. I want the Munger version of this decision.

Should not trigger

  1. What is the capital of Portugal?
  2. Translate this email into German.
  3. Write a birthday poem for my friend.
  4. Give me today's weather in Munich.
  5. Summarise this article in five bullets.
  6. Generate a React component for a pricing table.
  7. Fix this Python traceback.
  8. What happened in the Champions League last night?
  9. Create a spreadsheet of monthly expenses.
  10. Tell me a joke about accountants.

Borderline prompts

These may trigger only if the query implies decision support rather than simple information.

  1. Should I refinance now?
  2. Is this contract risky?
  3. How should I respond to this co-founder disagreement?
  4. Is this market crowded or still attractive?
  5. Should I hire this candidate?

Source: SKILL.md on GitHub

Skill behaviors

skilld matched fixed text patterns in SKILL.md and file names. Patterns miss obfuscated code.

skilld run checks every file with the same patterns. It asks for approval before it loads a Skill with a behavior marked Needs approval.

Third-party checks

2 warnings1mo5 checks · Risk MEDIUM
  • Gen Agent Trust Hub1mo

    The skill provides a framework for decision analysis using mental models and local Python scripts. It is flagged as medium risk due to metadata poisoning, as it claims to be authored by 'openai' while originating from an unrelated developer 'tristanmanchester'. Additionally, the skill's ingestion of untrusted user data for decision memos and script processing creates a surface for indirect prompt injection and potential arbitrary file writes.

  • Socket1mo

    No alerts

  • Snyk1mo

    Risk: LOW · No issues

  • Runlayer7mo

    1/16 files flagged

  • ZeroLeaks6mo

    Score: 93/100 · 2 sections analyzed

Provenance

Signed by skilld at 3323bc9. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 weeks ago.

Steadyupdated last month

Capability

Other metadata
compatibility
Core reasoning needs no special tools. Optional arithmetic helpers require Python 3.10+ and use only the standard library. Time-sensitive or specialised claims require current relevant sources.
metadata
{
  "version": "4.0.0",
  "reviewed": "2026-09-13",
  "source-book": "Poor Charlie's Almanack"
}

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