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AF named-persona-adversarial-review

Code review through the lens of real engineers' documented philosophies (Torvalds, Thompson, Carmack, Kent Beck, Jobs, Cagan). Complements abstract-role adversarial review with named, sourced perspectives. Use when automated review findings feel generic, when a PR has architectural or UX impact, or when the author wants pre-submit hardening beyond standard checks.

alirezarezvani/claude-skills Agent Skills author: alirezarezvani MIT 2 files body ≈ 2 609 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Code review through the lens of real engineers' documented philosophies (Torvalds, Thompson, Carmack, Kent Beck, Jobs, Cagan).

As a process F 33/100 · Will not run — References files that are not bundled: ../adversarial-reviewer/SKILL.md, ../code-reviewer/SKILL.md, ../senior-security/SKILL.md

AnalyzerSoftware developmentData and analyticsDesigntype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: ../adversarial-reviewer/SKILL.md, ../code-reviewer/SKILL.md, ../senior-security/SKILL.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../adversarial-reviewer/SKILL.md
  • warning missing-ref reference to a missing file: ../code-reviewer/SKILL.md
  • warning missing-ref reference to a missing file: ../senior-security/SKILL.md
  • warning missing-ref reference to a missing file: ../../../productivity/andreessen/skills/andreessen/SKILL.md

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: ../adversarial-reviewer/SKILL.md, ../code-reviewer/SKILL.md, ../senior-security/SKILL.md
  • 0Tools and files. 4 referenced file(s) missing: ../adversarial-reviewer/SKILL.md, ../code-reviewer/SKILL.md, ../senior-security/SKILL.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 100Steps. 39 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2609 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 366: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 39 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.