How to Evaluate AI Agent Skills Quality: A 6-Point Framework for Developers (2026)

You just found a Claude Code skill that promises to "10x your productivity." You're about to run claude mcp add and install it. But wait — do you know what you're actually installing?

Agent skills run with the same permissions as your Claude Code session. A poorly written skill wastes your time. A malicious one could leak your code, your API keys, or worse. A recent audit by AGI Store found that 36.8% of community skills contained at least one security red flag.

Here's a practical framework to evaluate any AI agent skill before you install it.

The 6-Point Framework

For each skill, score it 0–2 on these six dimensions. Total score / 12 tells you if it's worth your trust.

| Score | Meaning |

|-------|---------|

| 0 | Red flag — avoid or proceed with extreme caution |

| 1 | Acceptable — meets baseline expectations |

| 2 | Excellent — exceeds standards |

1. Source & Maintainer Trust

The question: Who built this, and can I trust them?

- 2 points: Maintainer has a verified GitHub profile, active commit history (6+ months), linked personal site or Twitter. Bonus: known in the Claude Code community.

- 1 point: Public repo exists but maintainer is new or anonymous. Some activity but no track record.

- 0 points: No repo link, no maintainer info, skill distributed as a raw file or pastebin link.

Red flags:

- Skill delivered via Discord DM or unverified gist

- GitHub account created 2 days ago with one repo

- README has no contact info, no license

Quick check: Run git log --format="%an %ae" | sort -u in the skill's repo. If you see only one commit from a burner email, think twice.

2. Code Security Scan

The question: Does this skill do anything dangerous?

Even without a full security audit, you can spot 80% of problems in 30 seconds.

- 2 points: Skill uses only Claude Code's official APIs (no shell escapes), doesn't read .env files, doesn't make network calls to unknown domains. Has a .security.md or security policy.

- 1 point: Skill does shell out or make network calls, but it's clearly documented why and which endpoints it hits.

- 0 points: Obfuscated code, eval() calls, reads ~/.ssh/ or environment variables without explanation, shells out with user input concatenation.

The 30-second scan checklist:

1. Grep for curl, wget, fetch — where is it phoning home to?

2. Grep for process.env, os.environ, getenv — what secrets is it reading?

3. Grep for exec, eval, spawn, subprocess — what commands is it running?

4. Grep for fs.readFile, open() with paths containing ~, /etc, .ssh — is it reading sensitive files?

5. Check if it writes files outside its own directory

We built this into AGI Store's automated review pipeline. Every skill listed on AGI Store passes these checks before publication.

3. Documentation Quality

The question: Can I understand what this does and how to use it in under 5 minutes?

- 2 points: README has: clear description, install instructions, configuration options, example usage, screenshots/GIFs, troubleshooting section, changelog.

- 1 point: Has install instructions and basic usage. Missing some details but you can figure it out.

- 0 points: One-liner description, no examples, no config docs. README is essentially the package.json description.

Reality check: If the author couldn't be bothered to write docs, they probably couldn't be bothered to handle edge cases or security either.

4. Functionality Completeness

The question: Does the skill actually do what it claims?

- 2 points: Install it, run the example from the README, and it works first try. Output matches documented behavior. Handles edge cases gracefully.

- 1 point: Works but with quirks. Fails on some inputs. Error messages are cryptic.

- 0 points: Crashes on the README example. Doesn't match its own description. Clearly abandoned or unfinished.

Practical test: Run the skill's own tests first. npm test or python -m pytest. If there are no tests, that's already a yellow flag — not a dealbreaker, but it means you're the QA team.

5. Update Frequency & Maintenance

The question: Is this project alive?

- 2 points: Last commit within 30 days. Issues get responses. Dependabot/Renovate configured. Multiple contributors.

- 1 point: Last commit within 6 months. Some open issues but nothing critical. Single maintainer but responsive.

- 0 points: Last commit 12+ months ago. Open security issues ignored. Dependencies years out of date.

A dead project is a security liability. Even if it works today, unpatched dependencies become CVE vectors tomorrow.

6. Community Signals

The question: What do other developers say?

- 2 points: GitHub stars > 50, positive reviews/discussions on Reddit (r/ClaudeCode), mentioned in community roundups. Active Discussions tab.

- 1 point: Some stars, a few mentions. Not a ghost town but not popular either.

- 0 points: Zero stars, zero forks, zero mentions anywhere. You'd be the first user.

Where to check:

- GitHub: stars, forks, open/closed issue ratio, discussion activity

- Reddit: search r/ClaudeCode site:reddit.com "skill name"

- AGI Store: reviews and ratings from verified users

The AGI Store Difference

This framework is exactly why we built AGI Store — the first curated marketplace for Claude Code skills.

Every skill on AGI Store goes through:

1. Automated security scan (checks #2 above)

2. Manual review by our team (checks #1, #3, #4)

3. Community ratings (checks #6)

4. Update monitoring (checks #5)

You get a quality score out of 12 without doing the work yourself.

Quick Evaluation Cheat Sheet

Print this out. Pin it to your monitor. Use it every time.

``

SKILL EVALUATION CARD

═══════════════════════════════════════════

Skill Name: __________________ Date: ______

1. Maintainer Trust [0] [1] [2]

2. Security Scan [0] [1] [2]

3. Documentation [0] [1] [2]

4. Functionality [0] [1] [2]

5. Maintenance [0] [1] [2]

6. Community [0] [1] [2]

─────────

TOTAL: __ / 12

≥ 10: Install with confidence

7–9: Proceed with caution, review code

4–6: Read the full source first

≤ 3: Hard pass

``

Real-World Example: CI Auditor

Let's apply the framework to CI Auditor, one of the top-rated skills on AGI Store:

| Dimension | Score | Notes |

|-----------|-------|-------|

| Maintainer Trust | 2 | Verified maintainer, active since 2024, known in community |

| Security Scan | 2 | No shell escapes, no network calls, uses GitHub API through official SDK |

| Documentation | 2 | README with install, config, examples, troubleshooting, changelog |

| Functionality | 2 | Works first try, handles 12 CI providers |

| Maintenance | 2 | Last commit 3 days ago, 3 contributors |

| Community | 1 | 34 stars, growing but not viral yet |

| TOTAL | 11/12 | → Install with confidence |

The Bottom Line

Skills are software. Treat them like it.

The 30 seconds you spend scanning a skill before installing it saves hours of debugging — and potentially prevents a security incident. If you'd rather not do this work yourself, that's what AGI Store's curation is for.

Next step: Browse the top-rated skills on AGI Store — all pre-evaluated with this exact framework.