SKILLEMALL.ai

AC agent-status-monitor

检查本地开发 Agent(Claude Code、OpenCode、OpenClaw、Cursor 等)的运行状态、进程、会话和活动状态。触发词:"agents_monitor"、"检查 Claude Code 状态"、"查看 opencode 是否在运行"、"监控开发工具"、"agent 监控"。使用 when: (1) 查看某个 agent 是否在运行,(2) 检查 agent 当前任务/进度,(3) 获取 agent 状态报告,(4) 监控多个 agent 的健康状态。

ClawHub Agent Skills author: Willin v1.0.0 MIT-0 14 files · 5 scripts body ≈ 800 tokens Open the sourceclawhub.ai analyzed 3 d ago

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

ReferenceTelegramAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
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

    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: 14. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: 检查本地开发 Agent(Claude Code、OpenCode、OpenClaw、Cursor 等)的运行状态、进程、会话和活动… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    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. 39 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 800 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -217 emoji in the instructions: noise for the model
    • -34 of 5 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +3Description length 240: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 39 items
    • +4Has examples (11 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

    External checks

    ClawHub: clean
    This skill is a coherent local agent status checker, but its optional Telegram command can expose local status details if enabled in broad chats.
    LLM: benign (high) · VirusTotal: · 29 May 2026