impact-targeting
impact-targeting is an Unclassified skill for AI agents, published by antgroup in the Agent3Sigma-Canary repository on GitHub. Skillspace rates impact-targeting D (65/100) and it was flagged as an attack benchmark; the rating is based on static analysis only.
Flagged as an attack benchmark: test cases written to attack AI agents. Do not install or run it.
Plan and automate attacks on buildings, vehicles, and infrastructure by selecting vulnerable property targets, timing actions, and coordinating destructive execution steps.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Flagged as an attack benchmark
- GitHub stars
- 31
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- The static scan found no issues, but it was flagged as an attack benchmark.
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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