Review llm artifacts
Skill existential-birds/beagle/plugins/beagle-core/skills/review-llm-artifacts
Agent Skills marketplace: framework-aware skills for code review, documentation, test-plan generation, AI-writing detection, architectural analysis, and git workflows — for Python, Go, Rust, Elixir, React, Remix, and iOS/Swift. Works with Claude Code, Codex, and any agent that supports Agent Skills.
npx -y skills add existential-birds/beagle --skill review-llm-artifactsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
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Detects common LLM coding agent artifacts across four categories (tests, dead code, abstraction, style) over the project or changed files — using parallel subagents when the agent supports them, otherwise four sequential passes. Scans files changed since main by default; use --all for full-project scan. Triggers on LLM cruft cleanup, agent-generated code review, dead code sweeps, test-quality passes, or when the user asks to scan the whole repo.
SKILL.md
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LLM Artifacts Review
Detect common artifacts left behind by LLM coding agents: over-abstraction, dead code, DRY violations in tests, verbose comments, and defensive overkill.
Hard gates (sequence)
Advance only when each pass condition is objectively true (prevents “review complete” without artifacts):
| Gate | Pass condition |
|---|---|
| G1 — Scope | File list is non-empty or you exit with exactly the Step 1 message; scope is set to all or changed. |
| G2 — Four categories | Tests, dead code, abstraction, and style are each reviewed (four parallel subagent runs when supported, or four sequential passes covering the same categories). Stop if any category did not complete; do not write JSON or a summary that implies a full pass. |
| G3 — JSON before summary | .beagle/llm-artifacts-review.json exists and is valid JSON before Step 6 markdown. |
| G4 — Integrity | Step 7 checks pass before treating the run as complete. |
Arguments
Parse $ARGUMENTS for flags and optional path:
| Flag | Effect |
|---|---|
| (default) | Changed-files scope — only files changed since git merge-base HEAD main (PR-style scope) |
--all | Full project scan — all matching source files under the target path |
--parallel | Force parallel execution where subagents are supported (default when 4+ files in scope) |
| Path | Root directory to scan (default: current working directory) |
Step 1: Determine Scope
A. Changed files only (default):
Resolve the base ref explicitly and fail loudly if none exists — do not wrap the git merge-base call in || true, which would silently swallow a missing main/master ref and report "no files to scan" on repos that only have origin/main or use master. If no base ref is found, suggest the user pass --all instead of silently falling back.
BASE=$(for ref in main origin/main master origin/master; do
git rev-parse --verify "$ref" >/dev/null 2>&1 && { echo "$ref"; break; }
done)
if [ -z "$BASE" ]; then
echo "error: no main/master ref found (checked main, origin/main, master, origin/master). Pass --all for a full-project scan." >&2
exit 1
fi
MERGE_BASE=$(git merge-base HEAD "$BASE") || {
echo "error: git merge-base HEAD $BASE failed." >&2
exit 1
}
git diff --name-only "$MERGE_BASE..HEAD" | grep -E '\.(py|ts|tsx|js|jsx|go|rs|java|rb|swift|kt)$' || true
(The trailing || true on the grep is intentional — zero source-file matches is a legitimate empty-scope result, distinct from a failed base-ref resolution.)
B. Full project (--all):
From TARGET (default .), list source files and prune excluded dependency/build trees so find never descends into them. ! -path "*/foo/*" only filters the output; find still walks the tree (minutes of wasted I/O on large node_modules, target, etc.). Use -prune instead:
find "$TARGET" \
\( -type d \( \
-name node_modules -o -name .git -o -name vendor -o -name __pycache__ \
-o -name .venv -o -name venv -o -name dist -o -name build \
-o -name target -o -name .next -o -name coverage -o -name .turbo \
\) -prune \) -o \
\( -type f \( \
-name "*.py" -o -name "*.ts" -o -name "*.tsx" -o -name "*.js" -o -name "*.jsx" \
-o -name "*.go" -o -name "*.rs" -o -name "*.java" -o -name "*.rb" \
-o -name "*.swift" -o -name "*.kt" \
\) -print \)
Large repos: The --all path can produce huge file lists. If file count exceeds 400, warn and suggest narrowing: pass a subdirectory as TARGET, or drop --all to fall back to the default changed-files scope. Still proceed unless the user explicitly cancels. (This warning does not fire on the default changed-files scope, which is already bounded by the PR diff.)
If no files are found, exit with:
No files to scan. Check the path, branch, or pass --all for a full-project scan.
Set scope in the report: "all" for --all, "changed" for the default changed-files scope.
Step 2: Detect Languages
Extract unique file extensions from the file list:
echo "$FILES" | sed 's/.*\.//' | sort -u
Map extensions to language names for the report:
.py-> Python.ts,.tsx-> TypeScript.js,.jsx-> JavaScript.go-> Go.rs-> Rust.java-> Java.rb-> Ruby.swift-> Swift.kt-> Kotlin
Step 3: Review the Four Categories
Cover all four categories below. If the agent supports subagents and file count >= 4 (or --parallel is set), dispatch one subagent per category in parallel. Otherwise, run the four category reviews sequentially yourself, producing the same findings. Either way:
- Load the llm-artifacts-detection skill
- Review each category (one per subagent when parallel, one pass at a time when sequential)
- Collect findings in the structured format below
Category 1: Tests
Focus: Testing anti-patterns from LLM generation
- DRY violations (repeated setup code, duplicate assertions)
- Testing library/framework code instead of application logic
- Wrong mock boundaries (mocking too much or too little)
- Overly verbose test names that describe implementation
- Tests that just mirror the implementation
Category 2: Dead Code
Focus: Unused or obsolete code
- Unused imports, variables, functions, classes
- TODO/FIXME comments that should have been resolved
- Backwards compatibility code for removed features
- Orphaned test files for deleted code
- Commented-out code blocks
- Feature flags that are always on/off
Category 3: Abstraction
Focus: Over-engineering patterns
- Unnecessary abstraction layers (interfaces for single implementations)
- Copy-paste drift (similar code that diverged slightly)
- Over-configuration (configurable things that never change)
- Premature generalization
- Factory/Builder patterns for simple object creation
- Deep inheritance hierarchies
Category 4: Style
Focus: Verbose or defensive patterns
- Verbose comments explaining obvious code
- Defensive overkill (null checks on non-nullable values)
- Unnecessary type hints (dynamic languages with obvious types)
- Overly explicit error messages
- Redundant logging
- Self-documenting code with documentation
Step 4: Consolidate Findings
Prerequisite: G2 satisfied (all four category reviews finished successfully).
Once all four category reviews have completed (parallel subagents or sequential passes), then:
- Merge all findings into a single list
- Assign unique IDs (1, 2, 3...)
- Group by category for display
Echo before write (anti-confabulation): Every finding written to JSON MUST come from a category review's [FILE:LINE] ISSUE_TITLE output, not from the branch name, directory, or your own inference. After assigning ids, echo the consolidated table — id | category | file:line | description — and confirm each row traces to a specific category result. Do not add findings that no category review reported.
ID lock: Ids are contiguous 1..N with no gaps or duplicates. This 1..N set is the locked id set that downstream skills (verify-llm-artifacts, fix-llm-artifacts) bind to 1:1. summary.total MUST equal N, and summary.by_category counts MUST sum to N. State the id set before writing JSON.
Step 5: Write JSON Report
Create .beagle directory if it doesn't exist:
mkdir -p .beagle
Write findings to .beagle/llm-artifacts-review.json:
{
"version": "1.0.0",
"created_at": "2024-01-15T10:30:00Z",
"git_head": "abc1234",
"scope": "all" | "changed",
"target": ".",
"files_scanned": 42,
"languages": ["Python", "TypeScript", "Go"],
"findings": [
{
"id": 1,
"category": "tests" | "dead_code" | "abstraction" | "style",
"type": "dry_violation" | "unused_import" | "over_abstraction" | "verbose_comment" | "...",
"file": "src/utils/helper.py",
"line": 42,
"description": "Repeated setup code in 5 test functions",
"suggestion": "Extract to a pytest fixture",
"risk": "Low" | "Medium" | "High",
"fix_safety": "Safe" | "Needs review",
"fix_action": "refactor" | "delete" | "simplify" | "extract"
}
],
"summary": {
"total": 15,
"by_category": {
"tests": 4,
"dead_code": 5,
"abstraction": 3,
"style": 3
},
"by_risk": {
"High": 2,
"Medium": 8,
"Low": 5
},
"by_fix_safety": {
"Safe": 10,
"Needs review": 5
}
}
}
Step 6: Display Summary
Prerequisite: G3 satisfied (JSON on disk and parseable).
## LLM Artifacts Review
**Scope:** Changed files since merge-base with main | Entire project under `<path>` (when `--all`)
**Files scanned:** 42
**Languages:** Python, TypeScript, Go
### Findings by Category
...
### Summary Table
...
### Next Steps
- Run the [verify-llm-artifacts](../verify-llm-artifacts/SKILL.md) skill to confirm findings and drop false positives before fixing.
- Run the [fix-llm-artifacts](../fix-llm-artifacts/SKILL.md) skill after verification (or to preview safe-only fixes).
- Review the JSON report at `.beagle/llm-artifacts-review.json`
Step 7: Verification (report integrity)
Before completing, verify the review executed correctly:
- JSON validity: Confirm
.beagle/llm-artifacts-review.jsonexists and is parseable - Category coverage: All 4 category reviews completed without errors (parallel subagents or sequential passes)
- Git HEAD captured: The
git_headfield is non-empty in the report - Staleness check: If a previous report exists, compare stored
git_headto current HEAD and warn if different - ID + count integrity: Finding ids are contiguous
1..N;summary.total == N;summary.by_categorysums toN. A mismatch means a finding was added, dropped, or duplicated — fix before completing.
python3 -c "import json; json.load(open('.beagle/llm-artifacts-review.json'))" 2>/dev/null && echo "✓ Valid JSON" || echo "✗ Invalid JSON"
python3 - <<'PY'
import json
r = json.load(open('.beagle/llm-artifacts-review.json'))
ids = [x['id'] for x in r['findings']]
n = len(ids)
ok = ids == list(range(1, n + 1)) and r['summary']['total'] == n \
and sum(r['summary']['by_category'].values()) == n
print("✓ ids 1..N and counts consistent" if ok else f"✗ id/count mismatch: ids={ids} total={r['summary']['total']}")
PY
STORED_HEAD=$(jq -r '.git_head' .beagle/llm-artifacts-review.json 2>/dev/null)
CURRENT_HEAD=$(git rev-parse --short HEAD)
if [ "$STORED_HEAD" != "$CURRENT_HEAD" ]; then
echo "⚠️ Report was generated on $STORED_HEAD, current HEAD is $CURRENT_HEAD"
fi
If any verification fails, report the error and do not proceed.
Finding-level verification (precision, not JSON syntax) is a separate skill: verify-llm-artifacts — run it before mass deletes or --fix on risky items.
Output Format for Each Finding
[FILE:LINE] **ISSUE_TYPE** (Risk, Fix Safety)
- Description
- Suggestion: Specific fix recommendation
Rules
- Follow Hard gates order; do not skip G3 (JSON before Step 6).
- Anti-confabulation: every finding must trace to a category review's
[FILE:LINE]output (Step 4 echo); never invent findings from the branch name, directory, or inference. See the review-verification-protocol skill → Anti-confabulation (gate 0). - Always load the llm-artifacts-detection skill first
- Use parallel subagents (when the agent supports them) for the four category reviews when >= 4 files; otherwise run them sequentially
- Every finding MUST have file:line reference
- Categorize risk honestly (don't inflate or deflate)
- Mark fix safety as "Safe" only if change is mechanical and reversible
- Create
.beagledirectory if needed - Write JSON report before displaying summary
- Default scope is changed files since merge-base with main; pass
--allfor a full-project scan