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宠物记忆压缩技能 - 通过文本块宠物交互触发记忆保存。纯ASCII文字图，Python全量管理，亲密度衰减与逃跑机制，跨平台智能体记忆系统。

ClawHub Agent Skills author: Lighthexuish v0.5.0 MIT-0 12 files body ≈ 918 tokens Open the sourceclawhub.ai↗ analyzed 21 h ago

宠物记忆压缩技能 - 通过文本块宠物交互触发记忆保存。纯ASCII文字图，Python全量管理，亲密度衰减与逃跑机制，跨平台智能体记忆系统。

As a process F 37/100 · Will not run — References files that are not bundled: references/*.md, references/guide.md, references/permissions.md

ProcedureSoftware developmenttype 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
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
55
Run on models
none yet
Process rating
F
37/100
Will not run
References files that are not bundled: references/*.md, references/guide.md, references/permissions.md
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. 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 · 0

✓ No critical or high findings

Files scanned: 0. 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: references/*.md
  • warning missing-ref reference to a missing file: references/guide.md
  • warning missing-ref reference to a missing file: references/permissions.md
  • warning missing-ref reference to a missing file: references/antipatterns.md
  • warning missing-ref reference to a missing file: references/faq.md
  • warning missing-ref reference to a missing file: references/examples.md
  • warning missing-ref reference to a missing file: references/changelog.md
  • warning missing-ref reference to a missing file: scripts/pet_manager.py
  • warning missing-ref reference to a missing file: scripts/pet_data.py
  • warning missing-ref reference to a missing file: scripts/memory_manager.py
  • note frontmatter-key unknown frontmatter key "data_dir"
  • note frontmatter-key unknown frontmatter key "sensitive_access"
  • note frontmatter-key unknown frontmatter key "critical_write"
  • note frontmatter-key unknown frontmatter key "permission_weight"
  • note frontmatter-key unknown frontmatter key "trigger"
  • note frontmatter-key unknown frontmatter key "trigger_negative"
  • note frontmatter-key unknown frontmatter key "h1_position"
  • note frontmatter-key unknown frontmatter key "meta_field_sync"
  • note frontmatter-key unknown frontmatter key "external_data_dir"
  • note frontmatter-key unknown frontmatter key "faq_quality"

Process rating: all ten parameters 37/100

Will not run. References files that are not bundled: references/*.md, references/guide.md, references/permissions.md
  • 0Tools and files. 10 referenced file(s) missing: references/*.md, references/guide.md, references/permissions.md
  • 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
  • 20When it triggers. No condition that starts the skill
  • 100Steps. 11 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 918 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • low The response is described with custom markup (5 tags): a typed call is more reliable

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 70: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 11 items
  • +4Has examples (3 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.

External checks

ClawHub: suspicious
This skill is a pet-themed memory tool, but it can persist broad conversation summaries and delete stored memories while its permissions and docs understate or contradict those behaviors.
LLM: suspicious (high) · VirusTotal: · 25 Jun 2026