SKILLEMALL.ai

AD handoff-v2

跨会话交接协议。用户只要表现出“现在先停一下,下一会话接着干”“继续刚才那一轮”“上下文太长要迁移工作现场”等意图,就必须使用此 skill。 `handoff out` 生成一个最小可执行的 handoff 包;`handoff in <id|latest>` 先读取 handoff 包并给出恢复预览,获得用户同意后才继续执行;`handoff list` 查看最近的交接记录。 整个协议只允许一个载体:handoff.md,不生成额外 prompt,不要求用户重新讲背景。

ClawHub Agent Skills author: Allen-Cao v1.0.0 MIT-0 6 files · 1 script body ≈ 666 tokens Open the sourceclawhub.ai analyzed 4 d ago

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

ProcedureInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
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 · 0

✓ No critical or high findings

Files scanned: 6. 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")

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
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (handoff-v2) differs from the folder (handoff-session)
  • 100Tools and files. No external tools needed
  • 100Steps. 84 steps
  • 100Execution cost. Instruction body is 666 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
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 239: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 84 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

External checks

ClawHub: clean
This skill is a coherent local handoff helper, but its saved handoff files and session identifiers should be treated as sensitive.
LLM: benign (medium) · VirusTotal: · 29 May 2026