scaffold-detection
scaffold-detection is an Application security skill for AI agents, published by panther-labs in the panther-analysis repository on GitHub. Skillspace rates scaffold-detection D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Scaffold a new Panther detection (rule, policy, or scheduled rule) end to end: pick the right directory and paradigm, copy from templates/, ground field names in the real log schema, generate matching RuleID/Filename/DisplayName, write redacted positive+negative unit tests, add MITRE mapping, and verify with a scoped `pat test`. Use when the user asks to "create / write / add / scaffold a (new) Panther rule / detection / policy / signal" for a specific log type, log source, or behavior — especially for log sources or behaviors not already covered in the repo. Do NOT use for editing or tuning existing detections; for that, just edit the file directly.
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 458
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, so go by its current files.
Our review
- Architecture
- 82 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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