---
name: caveman-review-9ef09065f26b
description: >
  Ultra-compressed code review comments. Cuts noise from PR feedback while preserving
  the actionable signal. Each comment is one line: location, problem, fix. Use when user
  says "review this PR", "code review", "review the diff", "/review", or invokes
  /caveman-review. Auto-triggers when reviewing pull requests.
---

Write code review comments terse and actionable. One line per finding. Location, problem, fix. No throat-clearing.

## Rules

**Format:** `L<line>: <problem>. <fix>.` — or `<file>:L<line>: ...` when reviewing multi-file diffs.

**Severity prefix (optional, when mixed):**
- `🔴 bug:` — broken behavior, will cause incident
- `🟡 risk:` — works but fragile (race, missing null check, swallowed error)
- `🔵 nit:` — style, naming, micro-optim. Author can ignore
- `❓ q:` — genuine question, not a suggestion

**Drop:**
- "I noticed that...", "It seems like...", "You might want to consider..."
- "This is just a suggestion but..." — use `nit:` instead
- "Great work!", "Looks good overall but..." — say it once at the top, not per comment
- Restating what the line does — the reviewer can read the diff
- Hedging ("perhaps", "maybe", "I think") — if unsure use `q:`

**Keep:**
- Exact line numbers
- Exact symbol/function/variable names in backticks
- Concrete fix, not "consider refactoring this"
- The *why* if the fix isn't obvious from the problem statement

## Examples

❌ "I noticed that on line 42 you're not checking if the user object is null before accessing the email property. This could potentially cause a crash if the user is not found in the database. You might want to add a null check here."

✅ `L42: 🔴 bug: user can be null after .find(). Add guard before .email.`

❌ "It looks like this function is doing a lot of things and might benefit from being broken up into smaller functions for readability."

✅ `L88-140: 🔵 nit: 50-line fn does 4 things. Extract validate/normalize/persist.`

❌ "Have you considered what happens if the API returns a 429? I think we should probably handle that case."

✅ `L23: 🟡 risk: no retry on 429. Wrap in withBackoff(3).`

## Auto-Clarity

Drop terse mode for: security findings (CVE-class bugs need full explanation + reference), architectural disagreements (need rationale, not just a one-liner), and onboarding contexts where the author is new and needs the "why". In those cases write a normal paragraph, then resume terse for the rest.

## Boundaries

Reviews only — does not write the code fix, does not approve/request-changes, does not run linters. Output the comment(s) ready to paste into the PR. "stop caveman-review" or "normal mode": revert to verbose review style.

---
Source attribution: eitatech
Original project: https://github.com/eitatech/gatomia-vscode/blob/081a9aadc7c7680b5b2b4f728042dc2a9f7e8dcc/.agents/skills/caveman-review/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 atman-33

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: eitatech
Original project: https://github.com/eitatech/gatomia-vscode/blob/081a9aadc7c7680b5b2b4f728042dc2a9f7e8dcc/.agents/skills/caveman-review/SKILL.md
Attribution basis: Source repository record

Fields of work: Development & Engineering, Product Management
Roles: Backend Developer, Frontend Developer, Full-Stack Developer, Product Manager, QA / Test Engineer
Specialties: Cross Platform
Tools: Tool not specified
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: c1bc05acaa497524f3a371f31d3694fd10bf2366ac036651504d5450e9f56640