SKILLEMALL.ai

BA SaaS

Runs a SaaS business: subscription revenue, plan packaging, trials, retention, expansion, and enterprise readiness. Use when MRR or ARR has to be computed, reconciled, or explained; when NRR, gross margin, CAC payback, burn multiple, or rule of 40 is the question; when designing plans, seats, usage limits, add-ons, or a free tier; when trials sign up but never convert; when failed payments leak revenue; when a renewal, downgrade, or cancellation flow needs building; when expansion has stalled; when an enterprise buyer demands SSO, SCIM, audit logs, SOC 2, a DPA, or an uptime SLA; when per-tenant cost or AI inference COGS breaks the margin; when designing multi-tenant isolation, metering, or entitlements; or when an investor questions ARR quality. Not for setting the price itself (`pricing`), acquisition channels and funnel diagnosis (`growth`), building the payment integration (`billing`), company financial models (`cfo`), or closing an individual deal (`b2b`).

ClawHub Agent Skills author: Iván v1.0.2 MIT-0 21 files body ≈ 7 272 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process A 80/100 · Runs to the end — weak spots: inputs and preconditions, progress reporting

IntegrationInfrastructureSecurityMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
95
Quality 40%
66
Run on models
none yet
Process rating
A
80/100
Runs to the end
Inputs and preconditions w 11
0
Progress reporting w 2
0
Result and completion w 14
60
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Risky intent intent-offensive-security compliance.md:73
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    **After any compliance decision or milestone**, write the certification, its scope and its dates to `## Commitments` where a customer was promised it, add evidence collection, audit renewal, penetrati
  • low Risky intent intent-offensive-security diligence.md:41
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    | Security and compliance | SOC 2 or ISO report, penetration test summary, subprocessor list, security answer bank (`compliance.md`) |
  • low Risky intent intent-offensive-security memory-template.md:140
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    | Penetration test | year | 2025-11-10 | 2026-11-10 |
  • low Risky intent intent-offensive-security memory-template.md:285
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - Contains no credentials, no architecture diagrams with internal hostnames, and no findings from an unremediated penetration test.
  • low Risky intent intent-offensive-security SKILL.md:171
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - **Cadence** — revenue close day, board and investor update frequency, renewal notice window, pricing review, audit and penetration test, dunning review — every accepted cadence becomes a row in the 

Files scanned: 21. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning body-long SKILL.md body ≈ 7272 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "changelog"

Process rating: all ten parameters 80/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 7272 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 44 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 5 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 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
  • +3Description length 975: 120–800 characters recommended
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 44 items
  • +3Output format is stated explicitly

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This skill is a disclosed local note-taking and SaaS-operations guide with sensitive business memory, but its storage and credential boundaries are clear and purpose-aligned.
LLM: benign (high) · VirusTotal: · 27 Jul 2026