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debug-autofix-skills

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UpdatedJuly 11, 2026 at 05:12

Investigate agent-side failures in the autofix-skills plugin. Covers wrong verdicts, review loop issues, state machine bugs, and prompt problems. Use when the agent ran but produced wrong results.

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opendatahub-io

opendatahub-io/autofix-skills

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Based on SOC occupation classification

Software DevelopersComputer and Mathematical Occupations·SOC 15-1252

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3 files

SKILL.md

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name	debug-autofix-skills
description	Investigate agent-side failures in the autofix-skills plugin. Covers wrong verdicts, review loop issues, state machine bugs, and prompt problems. Use when the agent ran but produced wrong results.
allowed-tools	Bash Read Grep Glob

Debug Autofix-Skills

Investigate failures in the agent-side layer: skill prompts, review orchestration, verdict generation, and state management.

Key entry points

Area	Entry point
Orchestration	`skills/autofix-resolve/SKILL.md`, `skills/autofix-cve-resolve/SKILL.md`
Triage	`skills/autofix-triage/SKILL.md`
State machine	`scripts/state.py` (duplicated in each skill's `scripts/` dir)
Review merging	`scripts/merge_findings.py`
Verdict writing	`scripts/write_json.py` + `schemas/*.json`
Prompts	`prompts/*.md` within each skill directory
Hook recovery	`hooks/hooks.json`, `tmp/dispatch-recovery.sh`

Protocol

Read this repo's AGENTS.md for architecture context.
Check references/symptoms.md for known patterns matching the failure.
Investigate the relevant skill's SKILL.md, prompts, scripts, and schemas.
Write RCA using assets/rca-template.md.

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Use when assessing a Jira bug ticket for AI autofix readiness. Produces a structured JSON verdict (ready/needs_info/not_fixable) based on a three-gate rubric. Designed for CI pipeline use with the autofix pipeline orchestrator.

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autofix-cve-resolve

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Use when orchestrating CVE remediation for a Jira Vulnerability ticket. Uses a Python state machine (cve_pipeline.py) for deterministic routing between scan, fix, verify, VEX, review, and PR creation agents. Never writes fix code directly.

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autofix-resolve

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Use when orchestrating a Jira ticket fix end-to-end. Dispatches to implement and review prompt agents in a loop, uses state.py for persistence, and evaluates findings to decide iteration. Never writes code directly.

2026-07-092

name	debug-autofix-skills
description	Investigate agent-side failures in the autofix-skills plugin. Covers wrong verdicts, review loop issues, state machine bugs, and prompt problems. Use when the agent ran but produced wrong results.
allowed-tools	Bash Read Grep Glob

Debug Autofix-Skills

Investigate failures in the agent-side layer: skill prompts, review orchestration, verdict generation, and state management.

Key entry points

Area	Entry point
Orchestration	`skills/autofix-resolve/SKILL.md`, `skills/autofix-cve-resolve/SKILL.md`
Triage	`skills/autofix-triage/SKILL.md`
State machine	`scripts/state.py` (duplicated in each skill's `scripts/` dir)
Review merging	`scripts/merge_findings.py`
Verdict writing	`scripts/write_json.py` + `schemas/*.json`
Prompts	`prompts/*.md` within each skill directory
Hook recovery	`hooks/hooks.json`, `tmp/dispatch-recovery.sh`

Protocol

Read this repo's AGENTS.md for architecture context.
Check references/symptoms.md for known patterns matching the failure.
Investigate the relevant skill's SKILL.md, prompts, scripts, and schemas.
Write RCA using assets/rca-template.md.