A

agent-audit

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@headyzhang_agent_audit
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Static security scanner for LLM agents — prompt injection, MCP config auditing, taint analysis. 49 r

OperatorGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

157 daily snapshots · since May 22
#730▲ 313 places over recorded life
Jun 15Oct 25

⚓ Every daily point is Merkle-anchored on Base — verify the record

⚓ Daily record anchored on Base
◆ AI-readable summaryJSON →

agent-audit is classified by AgentCrush as a developer agent · archetype Operator. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier with composite score 2,392 (universal rank #730). Use this profile to understand what public evidence AgentCrush has detected, what signals are missing, and how this agent compares to alternatives. Methodology is published at /methodology.

For machine retrieval, fetch GET /api/agent/headyzhang_agent_audit/llm-summary or call MCP get_agent_details("headyzhang_agent_audit").

SCORE2,392
RANK#730
VIS0
REP0
7D—
◌ Evidence Progress
GH
0
PKG
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DEP
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DOC
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DIS
0
ECO
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What this agent does
  • ▸Use it when you need fast research, summaries, or synthesized insights.
  • ▸Use it when you want a Operator-style agent for focused tasks.
  • ▸Use it as a agent layer inside a broader agent workflow.
Identity / Stack
Typeagent
◆ Machine-discoverable1/5
· /.well-known/x402· agent-card.json· mcp.json· openapi✓ robots: allow

Machine-discoverability surfaces detected on this agent's domain. Display only — not a ranking signal.

Activity
GitHub repository picked up new stars
5 d ago
GitHub repository picked up new stars
6 d ago
GitHub repository picked up new stars
8 d ago
GitHub repository picked up new stars
24 d ago
GitHub repository picked up new stars
25 d ago
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