SKILLEMALL.ai

BD cc-session-bridge

安装和使用 CC Session Bridge 脚本,将 Claude Code (CC) 的调用会话转换为 OpenClaw 会话格式,使 AIMA 平台能采集并展示 CC 的会话记录。支持流式写入、自动绑定 AIMA 任务、追加已有会话。触发场景:(1) 用户要求安装 CC 会话桥接脚本,(2) 用户想让 CC 调用记录在 AIMA 上可见,(3) 用户要求迁移 cc-session-bridge 技能到其他小灵,(4) 用户问怎么让 AIMA 看到 CC 的会话。关键词:cc-session-bridge、CC会话、AIMA采集、会话桥接、cc bridge、CC桥接。

ClawHub Agent Skills author: Jiang Shizheng v1.3.0 MIT-0 5 files body ≈ 1 340 tokens Open the sourceclawhub.ai analyzed 14 h ago

安装和使用 CC Session Bridge 脚本,将 Claude Code (CC) 的调用会话转换为 OpenClaw 会话格式,使 AIMA 平台能采集并展示 CC 的会话记录。支持流式写入、自动绑定 AIMA 任务、追加已有会话。触发场景:(1) 用户要求安装 CC 会话桥接脚本,(2) 用户想让 CC…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
D
43/100
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: 5. 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 43/100

  • 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. 8 mutating operations with no state check
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 17 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1340 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

  • +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
  • -215 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 291: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 17 items
  • +4Has examples (9 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
This skill appears purpose-built to bridge Claude Code sessions into AIMA, but it persistently records highly sensitive full session data without enough user controls or retention guidance.
LLM: suspicious (medium) · VirusTotal: · 8 Jun 2026