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BC opencode-remote

通过 HTTP API 远程操作 OpenCode 服务器。用于管理远程 OpenCode 实例的会话、监控状态和执行任务。 核心功能： 1. 管理多个"主session"（每个有独立的四词短名、endpoint、任务） 2. 向 session 发送消息（默认不指定agent，延续之前使用） 3. 自动监控：发送消息后自动开始每5分钟进度汇报 4. 创建 session 时询问用户选择 agent 用户需要提供： - OpenCode 服务器基础 URL（如 http://host:port） - 主session的四词短名（如 "csbx", "kumo", "hetc"）

ClawHub Agent Skills author: Entropy-xcy v1.0.0 6 files body ≈ 1 357 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

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

IntegrationInfrastructureAI and agentstype 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
85/100
safety, quality, tests
Safety 60%
97
Quality 40%
68
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Secrets in code secret-high-entropy-token SKILL.md:33
    High-entropy token-like string (may be an id, hash or a credential)
    | csbx | acf3…096 | ses_…Dr7 | OpenCode Web 集成 |
  • low Secrets in code secret-high-entropy-token SKILL.md:34
    High-entropy token-like string (may be an id, hash or a credential)
    | kumo | acf3…004 | ses_…3q8 | k8s macOS 部署 |
  • low Secrets in code secret-high-entropy-token SKILL.md:35
    High-entropy token-like string (may be an id, hash or a credential)
    | hetc | acf3…457 | ses_…iRT | HETC 项目开发 |

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 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. 30 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1357 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
  • -5TODO / placeholder text left in the skill
  • -32 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 294: enough signal without eating the budget
  • +4Structure: 28 headings
  • +3Step-by-step instructions: 30 items
  • +4Has examples (20 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
This is a real remote OpenCode management skill, but it includes powerful remote shell, deletion, proxying, and automatic monitoring behavior that users should review carefully before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026