SKILLEMALL.ai

AF cybernetic-thinking

Thinking-mode skill for LLMs: installs a control-theoretic and systems-theoretic cognitive operating system distilled from two books — Tsien Hsue-shen & Song Jian's "Engineering Cybernetics" (工程控制论) and Jin Guantao's "Cybernetics and Scientific Methodology" (控制论与科学方法论). Shapes how the LLM reasons about systems, not just how it writes patch diffs. Teaches the model to identify state and possibility space, model the plant as a black-box hypothesis, demand observability and information channels, verify stability and convergence, respect bounds, decouple harm, coordinate benefits, recognize ultra-stability and bifurcations, and close the loop before declaring success. Use when designing architecture, writing complex code, refactoring coupled modules, debugging non-deterministic systems, or any task where "correct AND robust" cannot be verified by a single happy path.

ClawHub Agent Skills author: Leon_Liang v0.6.0 MIT-0 26 files body ≈ 2 276 tokens Open the sourceclawhub.ai analyzed 2 d ago

Thinking-mode skill for LLMs: installs a control-theoretic and systems-theoretic cognitive operating system distilled from two books — Tsien Hsue-shen & Song…

As a process F 37/100 · Will not run — References files that are not bundled: templates/debugging-checklist.md, templates/change-proposal.md, references/stability.md

ProcedureSoftware developmentAI and agentsResearchtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
F
37/100
Will not run
References files that are not bundled: templates/debugging-checklist.md, templates/change-proposal.md, references/stability.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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: templates/debugging-checklist.md
  • warning missing-ref reference to a missing file: templates/change-proposal.md
  • warning missing-ref reference to a missing file: references/stability.md
  • warning missing-ref reference to a missing file: references/bounded-control.md
  • warning missing-ref reference to a missing file: references/possibility-space.md
  • warning missing-ref reference to a missing file: references/information-and-control.md
  • warning missing-ref reference to a missing file: references/system-evolution.md
  • note frontmatter-key unknown frontmatter key "slug"

Process rating: all ten parameters 37/100

Will not run. References files that are not bundled: templates/debugging-checklist.md, templates/change-proposal.md, references/stability.md
  • 0Tools and files. 7 referenced file(s) missing: templates/debugging-checklist.md, templates/change-proposal.md, references/stability.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (cybernetic-thinking) differs from the folder (skill-cybernetic-thinking)
  • 50Failures and branches. 0 branches, has a failure section
  • 70When it triggers. States when to use, but not when not to
  • 85Steps. 18 steps, 1 vague phrases
  • 100Execution cost. Instruction body is 2276 tokens

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 875: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (8 of 8)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: clean
This is a disclosed reasoning skill with an optional installer that writes the skill into agent skill directories, with no evidence of hidden data access or exfiltration.
LLM: benign (high) · VirusTotal: · 9 Aug 2026