CD claude-code-switchboard
Manage how OpenClaw routes Telegram messages to different Claude model backends. Switch between CLI and API providers with simple config changes.
Manage how OpenClaw routes Telegram messages to different Claude model backends.
As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
IntegrationTelegramSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
This is a copy of a skill from another catalog; the rating counts the canonical one: claude-code-switchboard (ClawHub)
How to improve
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "command"
Process rating: all ten parameters 48/100
- 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
- 40Consistency. Frontmatter name (claude-code-switchboard) differs from the folder (message-routing)
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 100Steps. 10 steps
- 100Execution cost. Instruction body is 552 tokens
- 100Running it twice. No mutating operations
- 100Progress reporting. Reports progress
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 145: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 10 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.
External checks
ClawHub: clean
This is a narrow Telegram routing helper that clearly says it reads and changes OpenClaw routing config, with operational cautions but no evidence of hidden or malicious behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026