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Loss weighted unknowns

Skill runsagents/loss-weighted-unknowns

Rank delivery unknowns by potential loss. Use when someone asks “what are we missing,” requests a pre-merge unknowns pass, says “rank the unknowns,” or when an agent has finished building and needs to expose consequential assumptions before merge.From its SKILL.md

Install
npx -y skills add runsagents/loss-weighted-unknowns

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.3 KB, 226 tokens by cl100k_base, as published. Nobody here has run it

Loss-weighted unknowns

After building and before merging, make the consequential unknowns visible to the human.

  1. Inspect the finished change, its boundaries, and the evidence produced while building it.
  2. List what remains unknown as separate Markdown files using templates/unknown.md. State a concrete harmful outcome, not a generic feeling of uncertainty.
  3. Score each unknown from 1 to 5 on severity, likelihood, irreversibility, blast radius, and compliance exposure. Use one shared calibration for the set.
  4. Run node scripts/rank-unknowns.mjs <path-to-unknowns>.
  5. Present the highest-ranked items to the human first, with their score, rationale, owner, and next action. Do not lead with a chronological inventory.
  6. Put generic uncertainty and cheap, reversible questions at the bottom. High uncertainty alone is not high priority.

The ranker multiplies the five scores. Treat the result as a decision aid: challenge the judgments when they look wrong, keep tied scores visible, and never imply that arithmetic removes the need for human review.

What ships with it: 15 files

31.7 KB alongside SKILL.md, 2 of them executable

examples/

schemas/

scripts/

templates/

tests/

Keep looking

Skills are one crate of 326,144. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.