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BC subagent-overseer

You spawned 4 sub-agents. One died 20 minutes ago. You're still waiting. Overseer watches them so you don't have to — zero tokens, pure OS-level process checks. No polling loops, no wasted heartbeats.

ClawHub Agent Skills author: Oscar Serra v1.1.2 MIT-0 4 files · 2 scripts body ≈ 1 898 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructureAI 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
87/100
safety, quality, tests
Safety 60%
95
Quality 40%
75
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Dangerous commands cmd-background-process scripts/overseer.sh:330
    Starts a background / autostarted process
    setsid jarvis "No active sub-agents. Overseer watching." &>/dev/null &
  • low Dangerous commands cmd-background-process scripts/overseer.sh:337
    Starts a background / autostarted process
    setsid jarvis "$SUBAGENT_COUNT agents active. $CHANGED files changed: $RECENT." &>/dev/null &
  • low Dangerous commands cmd-background-process scripts/overseer.sh:339
    Starts a background / autostarted process
    setsid jarvis "$SUBAGENT_COUNT agents active. $CHANGED files changed." &>/dev/null &
  • low Dangerous commands cmd-background-process scripts/overseer.sh:345
    Starts a background / autostarted process
    setsid jarvis "Warning: $STUCK_COUNT agents appear stuck. No file changes." &>/dev/null &
  • low Dangerous commands cmd-background-process SKILL.md:57
    Starts a background / autostarted process
    setsid scripts/overseer.sh \

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 51/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 17 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1898 tokens
  • 100Progress reporting. Reports progress
  • low The response is described with custom markup (8 tags): a typed call is more reliable

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 200: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 17 items
  • +4Has examples (5 code blocks)
  • +3All 1 scripts are documented

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

External checks

ClawHub: suspicious
The skill appears purpose-aligned, but its local background monitor uses unsafe state-file and PID-file handling that deserves review before installation.
LLM: suspicious (high) · 9 Sept 2026