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.
Edit a local copy. It keeps the author and licence.
≈106 tokens on demand. Your agent reads this file only when SKILL.md points to it.
| Stakeholder | What they say they want | What they are actually rewarded for | What they fear | What they can game | Likely behaviour |
|---|---|---|---|---|---|
Source: SKILL.md on GitHub
Runs shell commands
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.
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.
No alerts
Risk: LOW · No issues
1/16 files flagged
Score: 93/100 · 2 sections analyzed
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.
{
"version": "4.0.0",
"reviewed": "2026-09-13",
"source-book": "Poor Charlie's Almanack"
}