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BF memory-compression-system

Integrated memory management and extreme context compression for OpenClaw. Combines memory management, compression, search, and automation in one unified skill.

modbender/skill-library-mcp Agent Skills author: modbender MIT 11 files · 7 scripts body ≈ 2 720 tokens Open the sourcegithub.com↗ analyzed 3 d ago

Integrated memory management and extreme context compression for OpenClaw.

As a process F 46/100 · Will not run — References files that are not bundled: scripts/repair.sh, scripts/rebuild-index.sh, scripts/diagnose.sh

IntegrationSoftware developmentInfrastructureData and analyticstype 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
B
84/100
safety, quality, tests
Safety 60%
99
Quality 40%
62
Run on models
none yet
Process rating
F
46/100
Will not run
References files that are not bundled: scripts/repair.sh, scripts/rebuild-index.sh, scripts/diagnose.sh
Tools and files w 18
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-cron-mention scripts/status.sh:156
    Mentions editing / listing crontab
    if crontab -l 2>/dev/null | grep -q "memory-compression-system"; then

Files scanned: 11. 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")
  • warning missing-ref reference to a missing file: scripts/repair.sh
  • warning missing-ref reference to a missing file: scripts/rebuild-index.sh
  • warning missing-ref reference to a missing file: scripts/diagnose.sh
  • warning missing-ref reference to a missing file: examples/troubleshooting.md

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: scripts/repair.sh, scripts/rebuild-index.sh, scripts/diagnose.sh
  • 0Tools and files. 4 referenced file(s) missing: scripts/repair.sh, scripts/rebuild-index.sh, scripts/diagnose.sh
  • 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
  • 60Result and completion. Output format stated, no completion criterion
  • 85Steps. 113 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2720 tokens
  • 100Progress reporting. Reports progress
  • low 16 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)
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +3Description length 160: enough signal without eating the budget
  • +4Structure: 60 headings
  • +3Step-by-step instructions: 113 items
  • +3Output format is stated explicitly
  • +4Has examples (19 code blocks)
  • +3All 7 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.