SKILLEMALL.ai

CD boss-ai-agent

Boss AI Agent — your AI management middleware. Connects boss to all systems (Telegram/Slack/GitHub/Notion/Email), 16 mentor philosophies, 6 AI C-Suite seats, 9 culture packs, 7 automated scenarios. Works with Claude Code, ChatGPT, and Gemini via MCP.

ClawHub Agent Skills author: tonypk v1.3.0 MIT-0 3 files body ≈ 9 251 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Boss AI Agent — your AI management middleware.

As a process D 49/100 · Unfinished process — weak spots: when it triggers, inputs and preconditions, consistency

IntegrationNotionGitHubTelegramSlackAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
D
49/100
Unfinished process
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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.
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 body-long SKILL.md body ≈ 9251 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "emoji"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note edit-residue the text marks something as outdated (lines 82): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 49/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (boss-ai-agent) differs from the folder (management-brain)
  • 40Execution cost. Instruction body is 9251 tokens: crowds the task out of the window
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 85Steps. 170 steps, 2 vague phrases
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • -228 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 250: enough signal without eating the budget
  • +4Structure: 60 headings
  • +3Step-by-step instructions: 170 items
  • +3Output format is stated explicitly
  • +4Has examples (24 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
The skill is a coherent management assistant, but it enables persistent team monitoring, employee profiling, outbound cloud use, messaging, and host command capability with insufficient scoping and disclosure.
LLM: suspicious (high) · VirusTotal: · 14 Sept 2026