BF codex-account-switcher
Manage multiple OpenAI Codex accounts by capturing current login tokens, switching between saved accounts, and auto-selecting the best one based on quota budget scoring. Can also explicitly sync saved Codex tokens into OpenClaw agent auth stores on this machine. Sensitive: reads and writes local authentication files.
As a process F 42/100 · Will not run — References files that are not bundled: ../quota-dashboard/
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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
-
low Secrets in code
secret-high-entropy-tokenSKILL.md:172High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded){"timestamp": 1774878000, "account": "oliver", "user_id": "user…bew"}quoted
Files scanned: 4. 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") - warning
missing-refreference to a missing file: ../quota-dashboard/ - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "summary"
Process rating: all ten parameters 42/100
- 0Tools and files. 1 referenced file(s) missing: ../quota-dashboard/
- 0Result and completion. Does not say what the result is
- 0Failures and branches. Linear process with no failure handling
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 2 mutating operations with no state check
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 21 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1448 tokens
- 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 318: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 21 items
- +4Has examples (9 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.