SKILLEMALL.ai

AB basicops-mcp-operator

Operate BasicOps through an available BasicOps MCP server. Use when the user wants to read from or update BasicOps tasks, projects, notes, messages, assignments, statuses, subtasks, reviews, or related work in an MCP-capable environment. Trigger on requests like "update this BasicOps task", "assign this in BasicOps", "summarize this BasicOps thread", "request review", "create subtasks", or "mark this complete". Prefer safe context gathering before writes, ask one concise clarifying question when the target is ambiguous, and summarize completed changes briefly.

ClawHub Agent Skills author: Hans Larsen v0.1.1 MIT-0 6 files body ≈ 1 133 tokens Open the sourceclawhub.ai analyzed 2 d ago

Operate BasicOps through an available BasicOps MCP server.

As a process B 72/100 · Nearly there — weak spots: result and completion, progress reporting

ProcedureAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
B
72/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
Failures and branches w 10
50
the three weakest of ten parameters · all ten

How to improve

    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: 6. 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 72/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 50Failures and branches. 0 branches, has a failure section
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 42 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1133 tokens
    • 100Running it twice. Mutating operations check current state
    • low 11 top-level sections: this looks like several domains in one skill

    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

    • +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
    • +5Description quotes 6 example trigger phrases
    • +3Description length 566: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 42 items
    • +4Has examples (0 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: clean
    The skill bundle is coherent developer tooling; it uses powerful local, GitHub, and Convex actions, but those actions are disclosed and tied to the stated workflows.
    LLM: benign (medium) · VirusTotal: · 5 Jun 2026