SKILLEMALL.ai

AF principal-agent

Activate when: someone asks why an employee, executive, contractor, board member, or fund manager isn't acting in the org's interest; a compensation or incentive structure is being designed; outsourcing or partnership terms are being negotiated; someone says 'agency cost,' 'moral hazard,' 'skin in the game,' or 'incentive misalignment.' Do NOT activate when: parties have fully aligned interests and fully observable behavior; the cost of designing a contract exceeds any misalignment (trivial-stakes interactions). More: deciqai.com/c/principal-agent

ClawHub Agent Skills author: deciqAI v1.0.5 MIT-0 5 files body ≈ 1 719 tokens Open the sourceclawhub.ai analyzed 2 d ago

Activate when: someone asks why an employee, executive, contractor, board member, or fund manager isn't acting in the org's interest; a compensation or…

As a process F 45/100 · Will not run — References files that are not bundled: references/sources.md

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
F
45/100
Will not run
References files that are not bundled: references/sources.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/sources.md

Process rating: all ten parameters 45/100

Will not run. References files that are not bundled: references/sources.md
  • 0Tools and files. 1 referenced file(s) missing: references/sources.md
  • 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
  • 30Running it twice. 3 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 27 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1719 tokens
  • low 10 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
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 553: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 27 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

External checks

ClawHub: clean
This is a markdown-only educational skill for analyzing principal-agent problems, with no hidden execution, persistence, or sensitive access.
LLM: benign (high) · VirusTotal: · 16 Jul 2026