heartflow-session-context
heartflow-session-context is a Memory stores & recall skill for AI agents, published by yun520-1 in the mark-heartflow-skill repository on GitHub. Skillspace rates heartflow-session-context C (73/100) and it passed the safety scan; the rating is based on static analysis only.
HeartFlow 会话上下文管理 — 话题隔离(TopicScope) + 元指令检测 + 响应模式路由。解决上下文污染：两个无关话题不产生联想，新话题来时旧话题自动退背景。
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 34
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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