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Wsh7AshWsh7Ash/skillmcp/skills/signal-and-pitfall-sections/SKILL.md

signal-and-pitfall-sections

Skill0 starsChanged 15 days agoMITView on GitHub

Write signals as observations and pitfalls as the mistakes that produce false findings. Use when a skill needs to help a reader decide mid-procedure whether they are on track

The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 5 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈5

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Remove any signal that is really an interpretation

    line 24
  2. Distinctive:

    Check the pitfalls against your own past notes

    line 25
  3. Distinctive:

    no signal restates a step

    line 31
  4. Distinctive:

    every signal is verifiable from captured evidence

    line 62
  5. Distinctive:

    every pitfall names an action and the false finding it causes

    line 63

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Signal and Pitfall Sections

Write signals as observations and pitfalls as the mistakes that produce false findings

Use when: a skill needs to help a reader decide mid-procedure whether they are on track

Avoid when: the procedure is entirely deterministic and has no judgement step

Procedure

  1. List the observations that confirm the skill is working
  2. Phrase each as something visible in a response, header or byte count
  3. List the mistakes that have produced false positives for this technique
  4. Phrase each pitfall as a specific action to avoid
  5. Remove any signal that is really an interpretation
  6. Check the pitfalls against your own past notes

Signals

  • each signal can be verified from a capture
  • each pitfall names a concrete wrong action
  • no signal restates a step
  • the pitfalls explain a class of false positive

Patterns

1. Observable signal

age header resets to zero when the header changes

2. Actionable pitfall

replaying a POST that creates a record each time

3. Removed signal

looks suspicious: too vague to verify

Pitfalls

  • Writing signals that are conclusions rather than observations
  • Listing pitfalls that are just restatements of the steps
  • Omitting the false-positive class that this technique invites

Done when

  • every signal is verifiable from captured evidence
  • every pitfall names an action and the false finding it causes

References

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