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AF fofamap

Use this skill when the user wants FOFA-based asset discovery, host profiling, distribution statistics, icon_hash generation, query refinement after zero-result searches, or cautious follow-up vulnerability triage. It is for security recon tasks that need deterministic FOFA API calls instead of an interactive CLI.

ClawHub Agent Skills author: asaotomo v1.0.1 MIT-0 13 files body ≈ 3 276 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 54/100 · Will not run — References files that are not bundled: references/syntax-corpus.tsv

IntegrationInfrastructureData and analyticsSecuritytype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
F
54/100
Will not run
References files that are not bundled: references/syntax-corpus.tsv
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: 13. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/syntax-corpus.tsv
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 54/100

Will not run. References files that are not bundled: references/syntax-corpus.tsv
  • 0Tools and files. 1 referenced file(s) missing: references/syntax-corpus.tsv
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 6 mutating operations with no state check
  • 100Steps. 96 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 10 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3276 tokens
  • 100Progress reporting. Reports progress

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
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 315: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 96 items
  • +4Reference files are cited in the instructions (9 of 9)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

External checks

ClawHub: clean
This is a disclosed FOFA reconnaissance skill with local outputs, optional memory, live checks, and explicitly gated Nuclei scanning; it is not risk-free but the sensitive behavior is largely purpose-aligned and documented.
LLM: benign (medium) · VirusTotal: · 28 May 2026