speckit-aee-draft-claims
Skill3 starsChanged 27 days agoMITView on GitHub
Draft atomic claims from a specification's requirements for human ratification
- Installs packages
1 other project uses a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- electrohire/spec-kit-aeeedited, first seen Nov 8, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- electrohire/spec-kit-aee★ 498% same
Wrote their own version · 0
None found.
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.
In this repository24 other files it gives its agents.
- speckit-aee-assessSkill
- speckit-aee-challengeSkill
- speckit-aee-gapsSkill
- speckit-aee-gateSkill
- speckit-aee-report-savingsSkill
- speckit-aee-reviewSkill
- speckit-aee-route-evidenceSkill
- speckit-aee-traceSkill
- speckit-aee-verifySkill
- speckit-analyzeSkill
- speckit-checklistSkill
- speckit-clarifySkill
- speckit-constitutionSkill
- speckit-convergeSkill
- speckit-evaluator-composeSkill
- speckit-evaluator-reportSkill
- speckit-evaluator-routeSkill
- speckit-evaluator-runSkill
- speckit-implementSkill
- speckit-planSkill
- speckit-specifySkill
- speckit-tasksSkill
- speckit-taskstoissuesSkill
- evaluator-contractSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 44
Every drafted claim is born status: draft.
- Very specific: line 55
Do not edit a draft's status, evidence kind, or source_quality on the tool's behalf.
- Distinctive: line 57
Do not modify the source spec during drafting.
≈ “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
Aee Draft Claims Skill
AEE Draft Claims
Propose draft claims from a specification's stated requirements (functional requirements, user stories, acceptance criteria) and emit them as a claims bundle in engine format. Drafting is a proposal step: it lowers the authoring tax of writing claims by hand, and it ratifies nothing.
User input
$ARGUMENTSAccept spec=<path> (a spec markdown file, or a feature directory containing spec.md) and optional output=<path>. When output is omitted, the bundle is written as aee-claims.json beside the spec.
Prerequisites
- Do not install the engine yourself. The runner uses an
aeeengine in the range >=1.5.0,<2 from the active Python; otherwise its first run installsapplied-epistemic-engineering>=1.5.0,<2into.specify/extensions/aee/.runtime(this needs network access once). If the runner refuses (exit 2) because that install is disabled (SPECKIT_AEE_AUTO_INSTALL=0) or failed, stop and relay its message, which names the manualpython -m pip install "applied-epistemic-engineering>=1.5.0,<2"command. - Drafting uses the engine's Python helper
aee.extract.draft_claims_from_spec(the engine CLI has no drafting subcommand); the runner calls it from the same Python that provides the engine (the runtime environment above when it installed one). An engine without the helper makes the runner refuse cleanly with exit 2 — it never falls back to inventing claims itself. - Resolve the project root and the spec artifact. Never follow symlinks or read outside the project root.
Execution
Run:
python .specify/extensions/aee/scripts/python/run_aee.py draft-claims --spec "<spec.md-or-feature-dir>"With an explicit destination, append --output "<path>".
The runner prints a JSON summary naming the bundle actually written, the claim count, how many drafts still carry a TODO falsifier, and the depends_on proposals (below). The drafting is deterministic and makes no model calls.
What a draft is
- Every drafted claim is born
status: draft. Its single evidence item is the requirement text itself, as modelled by the helper:kind: asserted,source_quality: model— never anything stronger. - Each draft carries its source requirement reference in
source_refand a proposed falsification test, marked as proposed in the test text. A requirement whose text gives the helper nothing testable to anchor to gets an explicitTODOfalsifier instead of an invented test. - A draft whose falsifier is still a
TODOis rejected by strict loading (aee validate, and any strict assess) until a human writes a real one. TODO drafts cannot sneak past that gate.
depends_on proposals
Where a requirement's text explicitly references another requirement in the same spec, the helper scaffolds a depends_on proposal on the draft and records the source references under metadata.depends_on_proposed_from. The runner surfaces these in its JSON summary under depends_on_proposals. They are proposals in exactly the same sense as the claims themselves: a human confirms or removes them during ratification. Absence of a proposal means the spec stated no cross-reference — it is not evidence that no dependency exists.
Guardrails
- The tool contains no code path that ratifies, supports, or upgrades a claim, or that upgrades a draft's evidence. Ratification is a recorded human edit to the bundle, never a runner or command action.
- Do not edit a draft's
status, evidencekind, orsource_qualityon the tool's behalf; do not complete a TODO falsifier with an invented test — a falsifier is written by the human who owns the requirement, or the draft stays unfinished. - Drafts are proposals from the spec's own text, not evidence about the world: model output is
asserted, neverobserved. - Do not modify the source spec during drafting.
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.

