parallel-recon-triad
parallel-recon-triad is an Agent task delegation & fan-out skill for AI agents, published by uphiago in the recon-skills repository on GitHub. Skillspace rates parallel-recon-triad D (67/100) and it passed the safety scan; the rating is based on static analysis only.
Set up and manage self-improving parallel reconnaissance agent triads — eternal overlapping waves of deep invasion, target expansion, and skill evolution. Covers the full lifecycle: spawning parallel subagents, cron orchestration, documentation structure, sector-based US target methodology, and the self-improvement feedback loop that makes the system smarter over time.
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 754
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
- 75 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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