ascend
ascend is a Memory stores & recall skill for AI agents, published by jongwony in the epistemic-protocols repository on GitHub. Skillspace rates ascend D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Elevate a vague recall whose right resolution unit is not any single session but a connected-session chain, a topic cluster, or an already-sedimented concept. AI traverses the deposit graph by reconstructing cross-partition connections at read-time from stored anchors and shared keywords/metadata, recognizes the higher unit the deposits already imply, and presents it as a narrative for user recognition — without fusing a new whole or writing anything. Type: (RecallGranularityInsufficient, AI, ELEVATE, ScatteredDeposits × DepositGraph) → HigherGranularityUnit. Alias: Anagoge(ἀναγωγή).
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 124
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- 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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