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AF sql-memory

Semantic memory layer for OpenClaw agents. Use when: (1) persisting agent memories with importance scoring, (2) hierarchical memory rollups (daily→weekly→monthly→yearly), (3) queuing tasks for agents, (4) logging activity and audit trails, (5) managing knowledge bases with semantic search. Provides remember/recall/search/queue_task/log_event APIs. Built on sql-connector for reliable parameterized SQL execution.

ClawHub Agent Skills author: Oblio v2.2.0 MIT-0 15 files body ≈ 1 002 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 40/100 · Will not run — References files that are not bundled: scripts/sql_memory.py

AnalyzerAI 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
A
90/100
safety, quality, tests
Safety 60%
98
Quality 40%
78
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: scripts/sql_memory.py
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Exfiltration read-dotenv knowledge-base/INFRASTRUCTURE.md:361
    Reads a .env file (documentation of a security skill)
    cp .env.example .env
    security skill
  • low Dangerous commands cmd-cron-mention knowledge-base/INFRASTRUCTURE.md:368
    Mentions editing / listing crontab (documentation of a security skill)
    crontab -e  # Add cron jobs
    security skill

Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/sql_memory.py

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: scripts/sql_memory.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/sql_memory.py
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 5 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1002 tokens
  • 100Progress reporting. Reports progress

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 414: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 5 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: suspicious
This is a real SQL-backed memory skill, but it exposes broad database mutation and long-term storage behaviors that need careful review before use.
LLM: suspicious (high) · VirusTotal: · 29 May 2026