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assumption-excavation

Skill16 starsChanged 5 months agoMITView on GitHub

Surface hidden assumptions in plans, specs, AGENTS.md, SKILL.md, SET bundles, and workflow contracts before implementation or handoff. Use when an artifact looks plausible but may rely on unstated environment, dependency, behavioral, temporal, or success assumptions.

1 other project uses a version of this.

Adopted by

Most recently taken up by

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 for implicit assumptions, not prose quality.

    line 24
  2. Distinctive:

    Do not rewrite the artifact unless asked.

    line 50
  3. Distinctive:

    Do not treat assumptions as errors by default.

    line 51
  4. Distinctive:

    Do not block on low-risk assumptions.

    line 52

≈ “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

Assumption Excavation

Find what the artifact takes for granted before those assumptions become implementation bugs.

Use When

  • reviewing PRDs, specs, plans, or issue slices before work starts;
  • reviewing AGENTS.md, SKILL.md, SET bundles, proof-loop contracts, or workflow docs;
  • a proposal sounds confident but depends on unclear prerequisites;
  • you need a lightweight pre-implementation review lens.

Workflow

  1. Identify the artifact and its intended consumer.
  2. Read for implicit assumptions, not prose quality.
  3. Classify assumptions:
    • environment: tools, services, files, auth, OS, network;
    • dependency: upstream state, input shape, prior checks;
    • behavioral: what humans, agents, or systems are expected to do;
    • temporal: what must remain stable over time;
    • success: what the artifact counts as done or safe.
  4. Rank the assumptions by fragility:
    • high: likely to break or expensive if wrong;
    • medium: plausible risk with manageable fallout;
    • low: visible but not blocking.
  5. Mark partially surfaced assumptions as PARTIAL.
  6. Recommend what must be clarified, tested, or accepted before implementation.

Output Shape

Use:

  • verdict: EXAMINED or UNEXAMINED;
  • top assumptions, ranked;
  • fragility score or severity per item;
  • missing evidence;
  • smallest clarification or verification step.

Guardrails

  • Do not rewrite the artifact unless asked.
  • Do not treat assumptions as errors by default; some are deliberate.
  • Do not block on low-risk assumptions.
  • State uncertainty as text-based inference, not mind reading.

Provenance

Adapted from the assumption-excavator pattern in aself101/agents-and-pipelines, compressed for ABVX skill use and broader repo-contract review.

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Your trail

Files you open will collect here, so you can find them again.

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