apply-veto-filter
SkillDev toolsLets your agent filter out options that break hard limits and show exactly which rule each one violated.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the apply-veto-filter skill
About this skill
Eliminate alternatives that violate any hard threshold and report the exact violation.
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/apply-veto-filter/SKILL.md and read by ahel’s review.
Purpose
Eliminate alternatives that violate any declared hard threshold and expose the exact veto condition for each removal.
Input contract
required: [alternatives, hard_constraints, measured_values]
optional: [constraint_priorities, missing_value_policy]
constraints: [each alternative is tested against every hard constraint; missing measurements cannot silently pass]
Procedure
- Bind each hard constraint to its direction, threshold, unit, and evidence source.
- Check every alternative against every constraint and record pass, fail, or unknown per cell.
- Veto an alternative when any hard constraint fails; keep unknowns separate from passes.
- Return survivors, vetoed alternatives, violated constraints, and unresolved checks.
Output contract
produces: [survivor_set, veto_log, unresolved_checks]
delta_fields: [findings, evidence_updates, uncertainties, decisions]
Quality gates
- Every veto names one alternative, one hard constraint, the observed value, threshold, direction, and source.
- A survivor has no failed or silently unresolved hard constraint.
Failure and counterexamples
Do not replace a hard veto with a weighted average. If a value is missing, report unknown rather than treating it as compliant.
Provenance map
- resolved: conjunctive-filter
Signals
- GitHub stars
- 501
- Forks
- 41
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Key
apply-veto-filter- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine