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BF clawiser

Agent 记忆与工作流增强套件。包含 8 个模块：记忆系统（memory-deposit、retrieval-enhance、noise-reduction）+ 工作流（hdd、sdd、save-game、load-game、project-skill-pairing）。当用户说"安装 ClaWiser"、"初始化 ClaWiser"、"运行 ClaWiser"时触发。

ClawHub Agent Skills author: WenJun v1.1.0 MIT-0 19 files body ≈ 1 580 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 33/100 · Will not run — References files that are not bundled: scripts/merge-daily-transcript.js, scripts/auto-commit.sh

ProcedureAI and agentsInfrastructuretype 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
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: scripts/merge-daily-transcript.js, scripts/auto-commit.sh
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: 3. 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/merge-daily-transcript.js
  • warning missing-ref reference to a missing file: scripts/auto-commit.sh

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: scripts/merge-daily-transcript.js, scripts/auto-commit.sh
  • 0Tools and files. 2 referenced file(s) missing: scripts/merge-daily-transcript.js, scripts/auto-commit.sh
  • 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
  • 30Running it twice. 2 mutating operations with no state check
  • 100Steps. 18 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1580 tokens

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
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 187: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (8 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
ClaWiser appears to be a real memory and workflow enhancer, but it makes broad persistent changes that can retain conversations, alter future agent behavior, and auto-commit local files.
LLM: suspicious (high) · VirusTotal: · 29 May 2026