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
- yogsoth-ai/convergencetheir own version, first seen May 19, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- yogsoth-ai/convergence★ 2same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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- The first 60 shown.
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
- Distinctive: line 24
Read for implicit assumptions, not prose quality.
- Distinctive: line 50
Do not rewrite the artifact unless asked.
- Distinctive: line 51
Do not treat assumptions as errors by default.
- Distinctive: line 52
Do not block on low-risk assumptions.
≈ “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.
Files
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
- Identify the artifact and its intended consumer.
- Read for implicit assumptions, not prose quality.
- 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.
- Rank the assumptions by fragility:
- high: likely to break or expensive if wrong;
- medium: plausible risk with manageable fallout;
- low: visible but not blocking.
- Mark partially surfaced assumptions as
PARTIAL. - Recommend what must be clarified, tested, or accepted before implementation.
Output Shape
Use:
- verdict:
EXAMINEDorUNEXAMINED; - 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.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

