BF taskboard-skill
Manage tasks and projects using the TaskBoardAI Kanban system. Includes MCP server integration.
As a process F 31/100 · Will not run — weak spots: steps, result and completion, when it triggers
IntegrationInfrastructureAI and agentstype and topics are labelled automatically from the skill text
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: 3. 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")
Process rating: all ten parameters 31/100
- 0Steps. Prose only: no discrete steps
- 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. 2 mutating operations with no state check
- 40Consistency. Frontmatter name (taskboard-skill) differs from the folder (taskboardai-skill)
- 100Tools and files. No external tools needed
- 100Execution cost. Instruction body is 245 tokens
- 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)
- +3Description length 95: 120–800 characters recommended
- +4Structure: 0 headings, hard to scan
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.
External checks
ClawHub: suspicious
This skill is a plausible TaskBoardAI integration, but it can automatically persist full task context and results to a board with broad trigger rules and an unpinned global dependency.
LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026