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Adversarially review a grooming spec before implementation starts. Finds hidden risks, unvalidated assumptions, and missing dependencies. Standalone entry point for the challenger agent.

wp-media By wp-media schedule Updated 6/16/2026

name: challenge description: Adversarially review a grooming spec before implementation starts. Finds hidden risks, unvalidated assumptions, and missing dependencies. Standalone entry point for the challenger agent. argument-hint:

Challenge

Standalone adversarial spec review. Runs the full challenger analysis on an existing grooming spec and outputs a verdict (APPROVED / NEEDS_REVISION / BLOCKED) with MoSCoW-classified findings. Posting to the GitHub issue is your choice — you are prompted at the end.

Step 1 — Load config and locate files

Read project config from the orchestrator's ## Project Config block:

ORCHESTRATOR=".claude/skills/orchestrator/SKILL.md"
REPO=$(grep '^REPO=' "$ORCHESTRATOR" | cut -d= -f2)
TEMP_ROOT=$(grep '^TEMP_ROOT=' "$ORCHESTRATOR" | cut -d= -f2)

Use $ARGUMENTS as the issue number N. Verify both files exist:

  • Issue file: {TEMP_ROOT}/issues/<N>/issue.md
  • Spec file: {TEMP_ROOT}/issues/<N>/spec.md

If the spec does not exist, tell the user: "No spec found for issue #N. Run /groom <N> first to produce one." Stop here.

If only the issue file is missing, sync it:

bash .claude/skills/issue-workflow/scripts/issue-sync.sh <N>

Step 2 — Invoke the challenger agent

Invoke the challenger sub-agent with:

  • Issue number N
  • Issue file path: {TEMP_ROOT}/issues/<N>/issue.md
  • Spec file path: {TEMP_ROOT}/issues/<N>/spec.md
  • plan_version: 1 (or detect from the spec's Plan v<N> header if present)
  • CURRENT_MODEL: "standalone"
  • session_learnings: read Section 13 of AGENTS.md if it exists, else pass empty string
  • Runtime values: TEMP_ROOT={TEMP_ROOT}, REPO={REPO}

STANDALONE MODE — one difference from the normal pipeline run: Skip the StructuredOutput JSON return. Output the full human-readable verdict (APPROVED / NEEDS_REVISION / BLOCKED) and findings in a section titled ## Challenge Report, using the same format the orchestrator would receive (verdict, MoSCoW-classified findings, alternative suggestions).

Step 3 — Offer to post

After the agent responds, display its ## Challenge Report and ask:

Post this challenge report as a comment on issue #<N>? Reply yes to post, no to finish here.

If yes — post with dedup:

EXISTING_ID=$(gh api repos/{REPO}/issues/<N>/comments \
  --jq '[.[] | select(.body | contains("<!-- ai-pipeline:challenge -->"))] | last | .id // empty')

Update with PATCH if found, otherwise post a new comment. Body always starts with <!-- ai-pipeline:challenge -->.

If no — finish. Remind the user: if the verdict is NEEDS_REVISION, update the spec at {TEMP_ROOT}/issues/<N>/spec.md before running /groom <N> again or starting implementation.

Install via CLI
npx skills add https://github.com/wp-media/imagify-plugin --skill challenge
Repository Details
star Stars 80
call_split Forks 30
navigation Branch main
article Path SKILL.md
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