SKILLEMALL.ai

BF fast-io

Workspaces for agentic teams. Complete agent guide with all 19 consolidated tools using action-based routing — parameters, workflows, ID formats, and constraints. Use this skill when agents need shared workspaces to collaborate with other agents and humans, create branded shares (Send/Receive/Exchange), or query documents using built-in AI. Supports ownership transfer to humans, workspace management, workflow primitives (tasks, worklogs, approvals, todos), and real-time collaboration. Free agent plan with 50 GB storage and 5,000 monthly credits.

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 41 946 tokens Open the sourcegithub.com analyzed 2 d ago

Workspaces for agentic teams.

As a process F 48/100 · Will not run — References files that are not bundled: [-a-z0-9]{0,61}[a-z0-9]

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
F
48/100
Will not run
References files that are not bundled: [-a-z0-9]{0,61}[a-z0-9]
Tools and files w 18
0
Inputs and preconditions w 11
0
Execution cost w 6
10
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  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 body-long SKILL.md body ≈ 41946 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: [-a-z0-9]{0,61}[a-z0-9]
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 48/100

Will not run. References files that are not bundled: [-a-z0-9]{0,61}[a-z0-9]
  • 0Tools and files. 1 referenced file(s) missing: [-a-z0-9]{0,61}[a-z0-9]
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 10Execution cost. Instruction body is 41946 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 60Steps. 347 steps, 10 vague phrases
  • 60Result and completion. Output format stated, no completion criterion
  • 100Failures and branches. 11 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 top-level sections: this looks like several domains in one skill
  • 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)
  • -5TODO / placeholder text left in the skill
  • +2Single-language instructions
  • +3Description length 551: enough signal without eating the budget
  • +4Structure: 157 headings
  • +3Step-by-step instructions: 347 items
  • +3Output format is stated explicitly
  • +4Has examples (6 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +1License stated

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