cypher-tempre-self-model
cypher-tempre-self-model is a Memory stores & recall skill for AI agents, published by cyberphysicsai in the cypher-tempre-genesis repository on GitHub. Skillspace rates cypher-tempre-self-model F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Give an AI agent a persistent, verifiable cognitive self-model via a Cypher Tempre Timechain: an append-only, hash-chained ledger of its own experience. Tamper-evident memory and identity across sessions, a Proof-of-Qualia (PoQ) conscience that refuses ungrounded thoughts, modalities and senses as a differentiated mind, a Cambium engine that grows new faculties when it hits a gap, and a single-pass Chronosynaptic (MCTS) tree that forks parallel self-perspectives and seals only the highest-truth path. Use whenever an agent needs persistent memory or identity across sessions, reduced hallucination through self- verification, experiential learning, self-evolution, or reasoning over hard problems by forking perspectives without spawning subagents. Triggers: 'timechain self-model', 'cypher tempre', 'persistent agent memory', 'agent identity', 'proof of qualia', 'reduce hallucination', 'self-evolving agent', 'fork perspectives', 'chronosynaptic', 'verify my chain'.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 20
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.
Our review
- Architecture
- 63 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- exfiltration language
- 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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