SKILLEMALL.ai

BF self-evolving-blueprint

Build a self-evolving memory & learning system for your AI assistant on OpenClaw — 三层记忆架构 + 自进化体系 + 模板文件

ClawHub Agent Skills author: shu0yu v1.1.0 MIT-0 10 files body ≈ 816 tokens Open the sourceclawhub.ai analyzed 12 h ago

Build a self-evolving memory & learning system for your AI assistant on OpenClaw — 三层记忆架构 + 自进化体系 + 模板文件

As a process F 35/100 · Will not run — References files that are not bundled: assets/templates/USER.md.template, assets/templates/MEMORY.md.template, assets/templates/AGENTS.md.template

GeneratorAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
95
Quality 40%
61
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: assets/templates/USER.md.template, assets/templates/MEMORY.md.template, assets/templates/AGENTS.md.template
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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
  • medium Broad scope meta-agent-memory-dump assets/templates/MEMORY.md
    Agent memory / workspace files bundled with the skill (2) — likely a workspace dump with personal data or tokens
    assets/templates/MEMORY.md, assets/templates/USER.md

Files scanned: 10. 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: assets/templates/USER.md.template
  • warning missing-ref reference to a missing file: assets/templates/MEMORY.md.template
  • warning missing-ref reference to a missing file: assets/templates/AGENTS.md.template
  • warning missing-ref reference to a missing file: assets/templates/Mistakes-v2.md.template
  • warning missing-ref reference to a missing file: assets/templates/Habits-v2.md.template

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: assets/templates/USER.md.template, assets/templates/MEMORY.md.template, assets/templates/AGENTS.md.template
  • 0Tools and files. 5 referenced file(s) missing: assets/templates/USER.md.template, assets/templates/MEMORY.md.template, assets/templates/AGENTS.md.template
  • 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
  • 100Steps. 18 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 816 tokens
  • 100Running it twice. No mutating operations

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)
  • +3Description length 104: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: clean
This is a disclosed local-memory blueprint skill; it can affect persistent agent memory files, but the behavior is aligned with its purpose and includes user controls.
LLM: benign (high) · VirusTotal: · 1 Jun 2026