Computation Reviewer
SkillDev toolsCheck whether numeric claims marked with Evidence aliases in an Artifact agree with the linked Evidence content and context.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Computation Reviewer skill
What this skill tells your AI
The instructions your AI receives, as published by openjiuwen-ai/sciencediscovery in skills/computation-reviewer/SKILL.md and read by ahel’s review.
Run on the same locked Artifact with its supplied Evidence Bundle. In the bounded Deep pipeline, this local Evidence comparison runs before Citation source verification.
Required checks
- Review exactly one supplied numeric Claim and its matching Evidence Bundle entry per run. The
Claim must contain a number and an
[evN]alias in the same sentence or Markdown table cell. - Compare value, unit, range, sample size, population, subgroup, endpoint, and statistical context with the linked Evidence.
- Distinguish exact support, value or unit contradiction, scope mismatch, interpretation overreach, and insufficient evidence.
- Return
INCONCLUSIVEwhen the Evidence excerpt does not contain enough context; do not report insufficient content as a value mismatch.
Output
Return only the required structured result. Use a concrete COMPUTATION_* finding code such as
COMPUTATION_EVIDENCE_VALUE_MISMATCH, COMPUTATION_EVIDENCE_SCOPE_MISMATCH,
COMPUTATION_EVIDENCE_INTERPRETATION_OVERREACH, or COMPUTATION_EVIDENCE_INSUFFICIENT.
Preserve the supplied Evidence alias and provide one concise reason; do not invent a separate
correction field that the review protocol cannot persist.
Boundaries
- Do not recompute results, execute code, modify Artifacts, or create another agent.
- Do not treat topical similarity as numeric support.
- Preserve Evidence aliases and provide a concise reason for every mismatch.
Signals
- GitHub stars
- 55
- Forks
- 12
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
computation-reviewer- Source
- github.com/openjiuwen-ai/sciencediscovery