SKILLEMALL.ai

AC acp-transcript-sync

ACP 子会话内容自动回写主会话。当 spawn ACP 子 agent(cfuse/claude code/codex/gemini cli 等)完成任务后,将子会话的 transcript 回写到主会话 transcript 文件,使 AIMA 等平台能通过采集主会话看到子 agent 的完整推理过程。触发场景:(1) spawn ACP 子会话后需要回写内容到主会话,(2) 需要让 AIMA 平台采集到子 agent 的工作记录,(3) 将 ACP 子会话内容合并到主会话以保持完整链路。关键词:ACP回写、子会话回写、transcript同步、ACP sync、回写主会话、子agent内容同步、AIMA采集。

ClawHub Agent Skills author: Jiang Shizheng v1.0.0 MIT-0 3 files body ≈ 633 tokens Open the sourceclawhub.ai analyzed 28 h ago

ACP 子会话内容自动回写主会话。当 spawn ACP 子 agent(cfuse/claude code/codex/gemini cli 等)完成任务后,将子会话的 transcript 回写到主会话 transcript 文件,使 AIMA 等平台能通过采集主会话看到子 agent…

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

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
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: 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")

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. 14 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 633 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

  • +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
  • +1No license
  • +2Single-language instructions
  • +3Description length 311: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (4 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This skill openly syncs sub-agent transcripts, but it can copy sensitive child-session content into main logs and mutate the wrong session without enough user control.
LLM: suspicious (high) · 4 Jun 2026