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BD ai-brain-learning-memory-pro

ai-brain-learning-memory-pro · AI 记忆工程实战版

ClawHub Hermes author: zhaoxinghua09-cell v1.0.2 MIT-0 9 files body ≈ 1 062 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

ai-brain-learning-memory-pro · AI 记忆工程实战版

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
98
Quality 40%
56
Run on models
none yet
Process rating
D
46/100
Unfinished process
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

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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Obfuscation obf-base64-blob scripts/memory_eval_battery.py:36
    Long base64-looking blob (quoted — discussed, not commanded)
    "cGFz…ZXk="
    quoted

A further 1 matches are quotations in this security skill's documentation and are not counted as findings.

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

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 22, column 14: attestation: Polished under Nomos Group AI Skill Standard v1. Attribution: 诺学(D… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "display_name"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "title"
  • note frontmatter-key unknown frontmatter key "copyright"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "governance"
  • note frontmatter-key unknown frontmatter key "ambassador"
  • note frontmatter-key unknown frontmatter key "updated"
  • note frontmatter-key unknown frontmatter key "fingerprint"
  • note frontmatter-key unknown frontmatter key "nomos_standard"
  • note frontmatter-key unknown frontmatter key "discoverable_by_ai"
  • note frontmatter-key unknown frontmatter key "attestation"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 40 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1062 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 41: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • +2Single-language instructions
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 40 items
  • +4Has examples (3 code blocks)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.

External checks

ClawHub: suspicious
The skill itself is a local memory-methodology tool, but its install instructions tell users to globally install mutable remote content that could change after review.
LLM: suspicious (high) · 11 Sept 2026