AC claw-agent-creator-archit
Create new OpenClaw agents for Arch's multi-agent system. Use this skill when asked to create, add, or set up a new OpenClaw agent, or when adding an agent to the system defined in ~/.openclaw/. Covers the full lifecycle: directory creation, workspace files (SOUL.md, IDENTITY.md, etc.), openclaw.json config, Telegram routing (bindings + groups + mention patterns), cron job creation with proper prompt engineering, and gateway restart. Includes hard-won lessons from building the Wire (News) agent — the first non-default agent in the system. Also use when modifying existing agent configs, adding cron jobs to agents, or debugging agent routing issues.
As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.
Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.
How to improve
- 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 · 1
✓ No critical or high findings
Medium and low: 1
-
medium Broad scope
meta-agent-memory-dumpassets/templates/HEARTBEAT.mdAgent memory / workspace files bundled with the skill (4) — likely a workspace dump with personal data or tokensassets/templates/HEARTBEAT.md, assets/templates/IDENTITY.md, assets/templates/SOUL.md, assets/templates/USER.md
Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 54/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 3 mutating operations with no state check
- 55Failures and branches. 1 branches
- 85Steps. 23 steps, 2 vague phrases
- 100Tools and files. No external tools needed
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1455 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
- -4Absolute local paths (C:\Users, /home/…): not portable
- +1No license
- +2Single-language instructions
- +3Description length 655: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 23 items
- +4Has examples (8 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.