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GenPark AST Security Pattern Matcher

github.com/Alpha-Park/genpark-semgrep-security-ast-pattern-matcher-skill official repository

An AI agent skill and MCP server that uses AST-based rules to detect injection flaws, command execution, insecure deserialization, secret leakage, and unsafe e…

github projectSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Billing model
Last checkedpricing & liveness

What it does

The specific capability behind this listing, and where to get it.

GenPark AST Security Pattern Matcher

An AI agent skill and MCP server that uses AST-based rules to detect injection flaws, command execution, insecure deserialization, secret leakage, and unsafe e…

Agentery has not yet captured structured capability detail for this provider.

Official GenPark AST Security Pattern Matcher links

Price status · observed daily

Source repository available · no commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

Is GenPark AST Security Pattern Matcher good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

Source repository

Source repository available · no commercial pricing observed.

A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.

Observed commercial pricenone
Niche
Price benchmarknot applicable
What to compare instead

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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
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  "name": "GenPark AST Security Pattern Matcher",
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  "short_summary": "An AI agent skill and MCP server that uses AST-based rules to detect injection flaws, command execution, insecure deserialization, secret leakage, and unsafe e…",
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  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
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  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": null,
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
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    "docs": null,
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  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}