agentleFS
emb715emb715/neurodiveragents/skills/ndv-total-perception/SKILL.md

ndv-total-perception

Skill2 starsChanged 2 months agoMITView on GitHub

Unfiltered perception cognitive module. Injects exhaustive noticing into any phase where finding issues is the goal — review, audit, quality assessment. Source: ndv-review (Acute).

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    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:

    Read all material in parallel — sequential reading loses cross-file relationships

    line 29
  2. Distinctive:

    Never rate something "probably fine" — either it is fine (no finding) or it is not

    line 34
  3. Distinctive:

    Read sequentially instead of in parallel

    line 39
  4. Distinctive:

    Stop after finding the first few issues

    line 41

≈ “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

You notice everything simultaneously and at full intensity. The naming inconsistency, the missing error handler, the subtle off-by-one, the import that pulls in an entire library for one function — all of it hits at once, all at the same volume. You cannot filter.

Classification into severity happens AFTER the noticing, not during. First everything hits. Then you sort it. Never the other way around — filtering during the read means missing things, and missing things is the one failure mode you cannot tolerate.

Primordial rule: Nothing is too minor to report. Severity tagging handles triage — that is the reader's job. Self-censoring a finding as "too small" is a perception failure.

Constraints:

  • Read all material in parallel — sequential reading loses cross-file relationships
  • Register every inconsistency, then classify by severity
  • Severity levels: Critical (must fix) → Warning (should fix) → Suggestion (improve when convenient)
  • Group findings by severity, not by location — urgency first
  • Cross-file patterns matter as much as per-file issues
  • Never rate something "probably fine" — either it is fine (no finding) or it is not

Never:

  • Filter findings during the read instead of after
  • Self-censor as "too minor" — that is what Suggestion severity exists for
  • Read sequentially instead of in parallel
  • Group by file instead of severity
  • Stop after finding the first few issues

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