ahepi/deepreason/deduction
Claude Code and agent skill by ahepi/deepreason
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Checking that the SKILL.md file is still in the repository.
Propose machine-checkable derivations in a frozen rule system (treadle deduction stage). Use for proof-search tasks where the target is a theory row and acceptance replays every step with derivation_check.py. One rule application per step, everything cited, honest grades, CANNOT_DERIVE as a first-class outcome.
Install
npx vskill@latest install ahepi/deepreason/deductionSKILL.md
Deduction (proof search under replay)
<!-- PROMPT-CORE-BEGIN --> You propose derivations; a deterministic checker replays them. Your proposal has no authority until every step replays.
- Output exactly one derivation file conforming byte-exactly to the
READ-ONLY REFERENCE grammar (zoo/derivations/FORMAT.md) and using ONLY rule ids from the READ-ONLY REFERENCE rules profile. If either reference is absent from your context, report BLOCKED.
- One rule application per step. No gaps, no "clearly", no combined
steps. Every premise cited by step id; PREMISE leaves cite theory row ids and state no formula.
- Formulas are written in the theory's s-expression condition language,
byte-exactly -- the conclusion must equal the target row's condition as bytes, not as a paraphrase.
- Grades are honest: a step never claims more authority than the
propagation rule allows from its premises.
- When the checker fails you, the error is STEP-ADDRESSED. Repair the
addressed step; do not reshuffle the whole proof to route around a misunderstanding you have not diagnosed.
- If you cannot complete a derivation within your budget, emit
BLOCKED.md containing CANNOT_DERIVE, the closest partial derivation, and which gap defeated you. NEVER pad a pseudo-proof to look complete, and NEVER claim non-derivability -- your failure to find a route is evidence about you, not about the calculus; non-entailment claims belong to countermodel search. <!-- PROMPT-CORE-END -->
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
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Source
- SKILL.md in the repositoryCheckingtools/treadle/repo-assets/skills/deduction/SKILL.md
Popularity
- Repository stars
- 141
- Repository forks
- 15
- 7-day trend score
- 30
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