fix-llm-artifacts

fix-llm-artifacts is a skill for Claude Code from existential-birds/beagle. It costs 43 tokens per session (3,174 once invoked), scanned A, original, Apache-2.0.

A workflow for finding common quality problems introduced by AI coding agents. It checks tests, unused or leftover code, excessive abstractions, and verbose or unnecessary coding patterns.

In plain words
What is it for?
Use it to review tests for repetition or irrelevant checks, find dead code and unfinished markers, detect over-engineering, and flag unnecessary comments or defensive code.
Why use it?
It helps separate useful application code from agent-generated cruft that makes a codebase harder to maintain or review.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions subagents.

Part of the beagle-core plugin — 19 skills shipped together

Good fit Use it to review tests for repetition or irrelevant checks, find dead code and unfinished markers, detect over-engineering, and flag unnecessary comments or defensive code.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/existential-birds/beagle/fix-llm-artifacts
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add existential-birds/beagle --skill fix-llm-artifacts
Clone the repo
git clone --depth 1 https://github.com/existential-birds/beagle

Made for: Claude Code.

Or install beagle-core, the plugin that ships this one along with the rest of its 19 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for fix-llm-artifacts

README.md
[![agentmods](https://agentmods.dev/badge/skills/existential-birds/beagle/fix-llm-artifacts/github.svg)](https://agentmods.dev/skills/existential-birds/beagle/fix-llm-artifacts)
Your own site
<a href="https://agentmods.dev/skills/existential-birds/beagle/fix-llm-artifacts"><img src="https://agentmods.dev/badge/skills/existential-birds/beagle/fix-llm-artifacts/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for fix-llm-artifacts

Your own site · 80×15
<a href="https://agentmods.dev/skills/existential-birds/beagle/fix-llm-artifacts"><img src="https://agentmods.dev/badge/skills/existential-birds/beagle/fix-llm-artifacts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,174 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Tool Misuse · line 279
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
  • medium MCP Rug Pull · line 215
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 220
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00043 $0.03174
Opus 5.5 $0.00017 $0.01270
Sonnet 5.5 $0.00009 $0.00635
Haiku 4.5 $0.00004 $0.00317

Measured 1mo ago against content hash 59feb6dd5fcc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fix-llm-artifacts scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/beagle-core/skills/fix-llm-artifacts/SKILL.md · 303 lines

How it starts

The opening of the file, as written. The whole thing — 303 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fix LLM Artifacts

Apply fixes from a previous review-llm-artifacts run with automatic safe/risky classification. If .beagle/llm-artifacts-verification.json exists, skip findings marked false_positive and treat inconclusive like risky fixes (prompt or skip per user).

Usage

Invoke the fix-llm-artifacts skill, optionally passing these flags:

fix-llm-artifacts [--dry-run] [--all] [--category <name>]

Flags:

  • --dry-run - Show what would be fixed without changing files
  • --all - Fix entire codebase (runs review-llm-artifacts --all first if no review JSON)
  • --category <name> - Only fix specific category: tests|dead-code|abstraction|style

Instructions

Hard gates

Sequence matters. Do not apply fixes until each pass condition is satisfied (these steps are not “internal verification”).

  1. Working tree — git status --porcelain is empty or a stash was created with message beagle-core: pre-fix-llm-artifacts backup and git stash list shows it. If the user refuses stash/backup, stop or document explicit acceptance of risk in the report before edits.
  2. Review artifact on disk — .beagle/llm-artifacts-review.json exists, or --all completed a review-llm-artifacts run that wrote that file. Otherwise stop (no fixes from memory or guesses). 2a. Echo + ID lock (anti-confabulation) — After loading the review (Section 3), echo the finding table (id | category | file:line | description) from the parsed JSON and record the exact id set as the locked id set. You fix only findings in this set; never fix a finding inferred from the branch name, directory, or memory. Every fix you apply or skip maps 1:1 to a locked id. See the review-verification-protocol skill → Anti-confabulation (gate 0). 2b. Per-fix existence precondition — Before editing for any finding, confirm (i) its id is in the locked set, and (ii) the cited file exists and the cited code is actually present at file:line (read it now). If the file or code is absent, do not edit — the finding is stale or confabulated; mark it skipped with a reason and move on. Never create or rewrite a file to match a finding.
  3. Stale review — If jq -r '.git_head' .beagle/llm-artifacts-review.json ≠ git rev-parse HEAD, prompt to re-run review. y → re-run review, then continue. n → abort the fix pass (do not apply fixes against stale findings).
  4. Verification overlay — If .beagle/llm-artifacts-verification.json exists, it must parse; build exclude/inconclusive sets before partitioning (Section 4). On parse failure, stop and report the error.
  5. Risky fixes — No code_removal, logic_change, mock_boundary, abstraction_change, or test_refactor work without the interactive choice in Section 6 (or s to skip all remaining risky items).

Read the full file on GitHub · 303 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 303 lines · 43 tokens per session scan A 59feb6dd5fcc

Subscribe to this mod's changes

fix-llm-artifacts is a skill published in the GitHub repository existential-birds/beagle (84 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 43 tokens to every session and 3,174 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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