SKILLEMALL.ai

BC claude-memory-graph-audit

审计并修复 Claude Code 的 session memory 目录(如 ~/.claude/projects/<session>/memory/)作为知识图谱的健康度。 触发场景: - 用户说"体检/审计/检查我的 memory"、"memory 库健康度"、"哪些 memory 是孤立的" - 用户说"用 LLM Wiki 思路看一下 MEMORY"、"我的 memory 之间关联够不够" - 用户怀疑 [[wikilink]] 写错了、或 memory 文件越来越多但越来越散 做的事:检测断链、孤立页、桥接节点、稀疏聚类,并提议或直接修复链接。

ClawHub Agent Skills author: heavenchenggong v0.1.0 MIT-0 4 files · 1 script body ≈ 821 tokens Open the sourceclawhub.ai analyzed 13 h ago

审计并修复 Claude Code 的 session memory 目录(如 ~/.claude/projects/<session>/memory/)作为知识图谱的健康度。 触发场景: - 用户说"体检/审计/检查我的 memory"、"memory 库健康度"、"哪些 memory 是孤立的" - 用户说"用…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
C
53/100
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

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: 4. 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 "date"

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 16 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 821 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 281: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 16 items
  • +4Has examples (7 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This skill is a scoped Claude memory health-audit tool with a read-only audit script and documented manual repair guidance for broken links.
LLM: benign (high) · VirusTotal: · 30 May 2026