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AF radare2

Drive the radare2 CLI for binary reconnaissance, disassembly, analysis, function locating, export, and lightweight patching (r2/rabin2/rasm2/radiff2) without a GUI.

sickn33/agentic-awesome-skills Agent Skills author: sickn33 MIT 2 files body ≈ 2 072 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Drive the radare2 CLI for binary reconnaissance, disassembly, analysis, function locating, export, and lightweight patching (r2/rabin2/rasm2/radiff2) without…

As a process F 35/100 · Will not run — References files that are not bundled: scripts/recon.ps1

IntegrationGitHubAI and agentstype 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
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: scripts/recon.ps1
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
This is a copy of a skill from another catalog; the rating counts the canonical one: radare2 (sickn33/agentic-awesome-skills)

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: scripts/recon.ps1
  • note frontmatter-key unknown frontmatter key "risk"
  • note frontmatter-key unknown frontmatter key "source"
  • note frontmatter-key unknown frontmatter key "source_repo"
  • note frontmatter-key unknown frontmatter key "source_type"
  • note frontmatter-key unknown frontmatter key "date_added"
  • note frontmatter-key unknown frontmatter key "license_source"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scripts/recon.ps1
  • 0Tools and files. 1 referenced file(s) missing: scripts/recon.ps1
  • 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
  • 100Steps. 105 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2072 tokens
  • 100Running it twice. No mutating operations
  • low 25 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (7 tags): a typed call is more reliable

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
  • -2localhost URLs: will not work for another user
  • +2Single-language instructions
  • +3Description length 164: enough signal without eating the budget
  • +4Structure: 44 headings
  • +3Step-by-step instructions: 105 items
  • +4Has examples (18 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.