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CC hippocampus-memory

Persistent memory system for AI agents. Automatic encoding, decay, and semantic reinforcement — just like the hippocampus in your brain. Based on Stanford Generative Agents (Park et al., 2023).

ClawHub Agent Skills author: ImpKind v3.8.6 28 files · 11 scripts body ≈ 1 760 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Persistent memory system for AI agents.

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 28. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "title"

Process rating: all ten parameters 51/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 100Tools and files. No external tools needed
  • 100Steps. 19 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1760 tokens
  • low 14 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -31 of 10 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 193: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 19 items
  • +4Has examples (10 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

In the sandbox The scripts write outside their folder

The skill's scripts were run in a throwaway machine: no network, fake keys in the home directory, a tracer watching. We wrote down what they did. Reaching for the network or for secrets caps the technical grade at C; a quiet run adds no points.

Запущено 11 скриптов; каждому дали двадцать секунд, поддельный домашний каталог с ключами и сеть, в которой ничего нет.

Из них 4 не дошли до работы, и об их поведении мы ничего не узнали.

install.shпишет или удаляет вне своей папки (~/.openclaw/workspace/memory/index.json, ~/.openclaw/workspace/memory/.signal-limit)
scripts/consolidate.shничего за пределами своей папки
scripts/decay.shпишет или удаляет вне своей папки (~/.openclaw/workspace/memory/index.backup.json, ~/.openclaw/workspace/memory/index.json)
scripts/encode-pipeline.shне запустился: No session transcripts found in /home/sandbox/.openclaw/agents/main/sessions
scripts/generate-dashboard.shне запустился: scripts/generate-dashboard.sh: line 61: jq: command not found
scripts/load-core.shничего за пределами своей папки
scripts/preprocess.shне запустился: No session transcripts found in /home/sandbox/.openclaw/agents/main/sessions
scripts/recall.shне запустился: Usage: recall.sh <query> [--top N] [--min-score 0.5]
scripts/reflect.shничего за пределами своей папки
scripts/summarize-pending.shничего за пределами своей папки
scripts/sync-core.shпишет или удаляет вне своей папки (~/.openclaw/workspace/HIPPOCAMPUS_CORE.md)

28 Sept 2026

External checks

ClawHub: suspicious
This memory skill is purpose-aligned but needs review because it persistently scans and stores conversations, can run on a schedule, and contains exploitable local scripting and dashboard-rendering bugs.
LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026