AD bcms-content
Run BCMS content operations from the command line. A thin CLI (wrapping the official @thebcms/client SDK) for agents to create, update, delete, and list entries and upload media using a single API key — the same three-part key used for the BCMS MCP. Use this for scripted, deterministic content tasks in terminals, CI, and agent workflows.
Run BCMS content operations from the command line.
As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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 · 5
✓ No critical or high findings
Medium and low: 5
-
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:50High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…pne+HA4z…6CB+ym7E/tzoo…ejg==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:132High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…9dM/mwVgvbZJaSNaRk+bshk…Kbz+IoId…W0Q==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:138High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…7CW+wM1BB4w3+N+g+/Wx40…gSY/HqlFPIYb2/S3rxafw==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:163High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…SDq+2kAA…MOe/+5cdoEdg==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:175High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…GLw+xYSd…cqA==",
detector
Files scanned: 10. 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 41/100
- 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
- 30Running it twice. 16 mutating operations with no state check
- 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
- 85Steps. 10 steps, 1 vague phrases
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1423 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low The response is described with custom markup (10 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 339: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 10 items
- +4Has examples (6 code blocks)
- +4Reference files are cited in the instructions (2 of 5)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.