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yogsoth-aiyogsoth-ai/knowledge-structuring/skills/model-gap-detection/SKILL.md

model-gap-detection

Skill2 starsChanged 6 months agoApache-2.0View on GitHub

SOP for finding gaps in the causal model — missing variables, unexplained effects, weak links.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    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:

    Run vault_graph_stats — identify orphans and low-connectivity nodes

    line 18
  2. Distinctive:

    Check for edges with weight < 0.3 — these are weak links needing more evidence

    line 21
  3. Distinctive:

    Must check both orphans and weak links.

    line 27

≈ “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

Model Gap Detection

Find gaps in the causal model: effects without causes, causes without mechanisms, weak confidence links.

Tool

vault_graph_stats + vault_query_graph

Protocol

  1. Run vault_graph_stats — identify orphans and low-connectivity nodes
  2. For each variable with out_degree=0 (no downstream effects): is this truly a terminal variable?
  3. For each variable with in_degree=0 (no upstream causes): is this truly exogenous?
  4. Check for edges with weight < 0.3 — these are weak links needing more evidence
  5. Report gaps with suggested actions

HARD-GATE

<HARD-GATE> Must check both orphans and weak links. Report must include actionable suggestions. </HARD-GATE>

Yield

Returns: { unexplained_effects: string[], missing_causes: string[], weak_links: string[] }

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