SKILLEMALL.ai

BF site-mcp-consumer

Wire one site-scoped read-only MCP sidecar to a local Campus Copilot snapshot.

ClawHub Agent Skills author: Yifeng[Terry] Yu v1.0.0 MIT-0 2 files body ≈ 607 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 50/100 · Will not run — References files that are not bundled: examples/integrations/, examples/workspace-snapshot.sample.json, examples/mcp/codex.example.json

ProcedureAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
100
Quality 40%
53
Run on models
none yet
Process rating
F
50/100
Will not run
References files that are not bundled: examples/integrations/, examples/workspace-snapshot.sample.json, examples/mcp/codex.example.json
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
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.
  2. The text references files that are not there: add them or drop the references.
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-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: examples/integrations/
  • warning missing-ref reference to a missing file: examples/workspace-snapshot.sample.json
  • warning missing-ref reference to a missing file: examples/mcp/codex.example.json
  • warning missing-ref reference to a missing file: examples/mcp/claude-desktop.example.json
  • warning missing-ref reference to a missing file: examples/mcp/codex-repo-root.example.json
  • warning missing-ref reference to a missing file: examples/mcp/claude-desktop-repo-root.example.json
  • warning missing-ref reference to a missing file: examples/openclaw-readonly.md
  • warning missing-ref reference to a missing file: examples/integrations/codex-mcp.example.json
  • warning missing-ref reference to a missing file: examples/integrations/claude-code-mcp.example.json

Process rating: all ten parameters 50/100

Will not run. References files that are not bundled: examples/integrations/, examples/workspace-snapshot.sample.json, examples/mcp/codex.example.json
  • 0Tools and files. 9 referenced file(s) missing: examples/integrations/, examples/workspace-snapshot.sample.json, examples/mcp/codex.example.json
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 65Failures and branches. 3 branches
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 32 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 607 tokens
  • 100Running it twice. No mutating operations

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)
  • +3Description length 78: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 32 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.

External checks

ClawHub: clean
This instruction-only skill coherently helps connect a local read-only Campus Copilot snapshot to an MCP-capable agent, with no hidden code or write behavior in the artifact.
LLM: benign (high) · VirusTotal: · 29 May 2026