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BF openclaw-continuity-pack

用于给 OpenClaw 安装可复用的 continuity 模板与统一安装入口，支持 workspace-only、continuity-only 和 full continuity 三条路线；可选对匹配源码树应用 runtime patch，实现前台同一对话、后台自动续接、静默 continuity 准备的工作流。

ClawHub Agent Skills author: XBTMMM v0.5.0 MIT-0 33 files body ≈ 1 283 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 43/100 · Will not run — References files that are not bundled: assets/patch/thread-continuity.patch

ProcedureInfrastructuretype 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
87/100
safety, quality, tests
Safety 60%
95
Quality 40%
74
Run on models
none yet
Process rating
F
43/100
Will not run
References files that are not bundled: assets/patch/thread-continuity.patch
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/workspace/HEARTBEAT.md
    Agent memory / workspace files bundled with the skill (3) — likely a workspace dump with personal data or tokens
    assets/workspace/HEARTBEAT.md, assets/workspace/memory/README.md, assets/workspace/SOUL.md

Files scanned: 33. 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/patch/thread-continuity.patch

Process rating: all ten parameters 43/100

Will not run. References files that are not bundled: assets/patch/thread-continuity.patch
  • 0Tools and files. 1 referenced file(s) missing: assets/patch/thread-continuity.patch
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 5 mutating operations with no state check
  • 100Steps. 74 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1283 tokens
  • low The response is described with custom markup (3 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)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 160: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 74 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (13 of 13)
  • +3All 4 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: suspicious
This appears to be a real OpenClaw continuity installer, but it also installs broad persistent agent rules that can monitor personal services and push repository changes without enough scoping.
LLM: suspicious (high) · VirusTotal: · 29 May 2026