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BC bounty-hunter

Automated smart contract bug bounty hunting. Scans Immunefi/Code4rena targets with Slither static analysis, triages findings with local LLMs, and generates PoC templates. Zero API cost for scanning phase.

ClawHub Agent Skills author: Chipp11 v1.0.0 4 files · 2 scripts body ≈ 419 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

AnalyzerAI and agentsSoftware developmentInfrastructuretype 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
B
88/100
safety, quality, tests
Safety 60%
97
Quality 40%
75
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Risky intent intent-offensive-security skill-card.md:2
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    Automated smart contract bug bounty hunting that scans Immunefi and Code4rena targets with Slither static analysis, triages findings with local LLMs, and prepares PoC investigation workflows. <br>
  • low Risky intent intent-offensive-security SKILL.md:3
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    description: Automated smart contract bug bounty hunting. Scans Immunefi/Code4rena targets with Slither static analysis, triages findings with local LLMs, and generates PoC templates. Zero API cost fo
  • low Risky intent intent-offensive-security SKILL.md:9
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
    Automated smart contract vulnerability scanner for bug bounty programs. Uses free tools (Slither + local LLMs) for the heavy lifting, saves expensive models for PoC writing.
    detector

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 54/100

  • 0Result and completion. Does not say what the result is
  • 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. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (bounty-hunter) differs from the folder (angus-bounty-hunter)
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. No external tools needed
  • 100Steps. 18 steps
  • 100Execution cost. Instruction body is 419 tokens

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 204: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (1 code blocks)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This smart-contract scanner mostly matches its purpose, but it can install and run code from untrusted target repositories on the user's machine.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026