AI Incident Response

v1.0.0

Generate personalized career roadmaps for AI incident response professionals with specialized learning paths and skill assessments.

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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name/description describe roadmap generation and the SKILL.md plus openapi.json define endpoints and request/response schemas that align with that purpose. There are no unexpected required binaries, env vars, or config paths.
Instruction Scope
The SKILL.md instructions and example requests/responses focus on collecting assessment data and returning roadmaps. They do not instruct reading unrelated files, environment variables, or transmitting data to unexpected endpoints in the provided content.
Install Mechanism
No install spec and no code files to execute are included; this is instruction-only (lowest install risk). openapi.json is a harmless API specification matching the described endpoints.
Credentials
The skill declares no required environment variables, credentials, or config paths. The data fields in examples are limited to user assessment and session metadata, which is appropriate for the stated function.
Persistence & Privilege
always is false and there are no instructions to modify agent/system-wide configuration or other skills. The default ability for the model to invoke the skill autonomously is normal and not, by itself, a concern.
Scan Findings in Context
[no_regex_findings] expected: The regex-based scanner had no findings to analyze, which is expected for an instruction-only skill containing only SKILL.md and an OpenAPI spec.
Assessment
This skill appears coherent and low-risk: it only defines APIs and guidance for creating career roadmaps and asks for no credentials. Before installing, (1) review the full SKILL.md (the provided excerpt was truncated) to confirm there are no hidden instructions that read files or send data to third-party URLs, (2) avoid submitting sensitive credentials or PII in assessmentData (use minimal, non-sensitive example data to test), and (3) prefer skills from known sources or a homepage when possible. If you need stronger assurance, request the full untruncated SKILL.md and any runtime policies or privacy statements from the publisher.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

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