SKILLEMALL.ai

AF dual-system-thinking

Activate when: a decision feels obvious but the stakes are high; someone says 'I just trust my gut' on a consequential call; a team is converging fast without pushback; you're tired or pressured and still need to decide; you're in an unfamiliar domain moving on instinct. Do NOT activate when: the decision is genuinely routine and low-stakes; you have well-trained calibrated expert intuition in that exact domain and need to act fast. More: deciqai.com/c/dual-system-thinking

ClawHub Agent Skills author: deciqAI v1.0.5 MIT-0 5 files body ≈ 1 705 tokens Open the sourceclawhub.ai analyzed 35 h ago

Activate when: a decision feels obvious but the stakes are high; someone says 'I just trust my gut' on a consequential call; a team is converging fast without…

As a process F 44/100 · Will not run — References files that are not bundled: examples/kahneman-2011-tversky-kahneman-research.md, examples/llms-as-system-1-ai-era-2024-2026.md, references/sources.md

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
F
44/100
Will not run
References files that are not bundled: examples/kahneman-2011-tversky-kahneman-research.md, examples/llms-as-system-1-ai-era-2024-2026.md, 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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: examples/kahneman-2011-tversky-kahneman-research.md
  • warning missing-ref reference to a missing file: examples/llms-as-system-1-ai-era-2024-2026.md
  • warning missing-ref reference to a missing file: references/sources.md

Process rating: all ten parameters 44/100

Will not run. References files that are not bundled: examples/kahneman-2011-tversky-kahneman-research.md, examples/llms-as-system-1-ai-era-2024-2026.md, references/sources.md
  • 0Tools and files. 3 referenced file(s) missing: examples/kahneman-2011-tversky-kahneman-research.md, examples/llms-as-system-1-ai-era-2024-2026.md, references/sources.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 30Running it twice. 1 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 85Steps. 16 steps, 2 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1705 tokens
  • 100Progress reporting. Reports progress
  • 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 477: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 16 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This is a text-only decision-making coaching skill with no executable code, hidden data access, or privileged behavior.
LLM: benign (high) · VirusTotal: · 16 Jul 2026