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H Diagnose

ASecurity

Diagnose a concrete failure with rival-hypothesis testing. Stabilize the symptom, generate distinct explanations, test discriminating observations read-only in parallel, and rank by evidence while retaining losing rivals.

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  • Added September 6, 2026
ai-agentstesting

Security analysis

A100/100

Scanned September 6, 2026

npx -y skills add m0n0x41d/haft --skill h-diagnose --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: h-diagnose
description: Diagnose a concrete failure with rival-hypothesis testing. Stabilize the symptom, generate distinct explanations, test discriminating observations read-only in parallel, and rank by evidence while retaining losing rivals.
---

# h-diagnose — Test rival explanations

Retrieve current FPF source only when pattern choice is material to the
diagnosis. Mechanical reproduction, logs, and direct implementation probes do
not need a ritual query. Inspect a known SourceID/UnitID directly; otherwise
use `mode="concern"` and treat the returned `candidate_set` as incomplete
navigation, not a selected pattern. Before relying on one candidate, inspect
its exact identifier and direct pattern body. Keep several candidates live or
abstain when the returned basis is insufficient. Never run a query after the
diagnosis merely to manufacture source support for an already-chosen story.

Keep symptom, hypothesis, probe, observation, and verdict distinct. Include a
rival that challenges the initial framing. Prefer safe parallel probes; label
design-time inference separately from runtime evidence. Keep losing hypotheses
with return conditions. Persist only on explicit request or when a named
receiving use needs replay.

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