distant-campaign-risk-assessment
distant-campaign-risk-assessment is a Structured reasoning & decision frameworks skill for AI agents, published by baojie in the shiji-kb repository on GitHub. Skillspace rates distant-campaign-risk-assessment C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Use when evaluating feasibility of campaigns against distant or nomadic enemies. Assesses strategic value, logistics (率三十锺而致一石), enemy mobility, domestic impact (靡弊中国), and historical precedents like Qin's failed Xiongnu campaigns.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 2,300
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
- 100 / 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
- Scope
- Portable: works in any project. Generic historical/strategic campaign risk framework
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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