cybernetic-loop

cybernetic-loop is a skill for Codex from OutlineDriven/outline-driven-development. It costs 42 tokens per session (1,336 once invoked), scanned A, original, Apache-2.0.

A bounded workflow for restoring one failed behaviour outside the normal successful path. It tries a limited number of candidate code changes and keeps a change only when all defined checks still pass.

In plain words
What is it for?
Use it to repair a named edge-case invariant, such as reorganization, peer-to-peer behaviour, or index recovery, when the caller provides a finite patch budget.
Why use it?
It limits trial-and-error changes and protects the working tree from unsuccessful attempts. If the checks cannot pass together within the allowed budget, it restores the original state.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to repair a named edge-case invariant, such as reorganization, peer-to-peer…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/outlinedriven/outline-driven-development/cybernetic-loop
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add OutlineDriven/outline-driven-development --skill cybernetic-loop
Clone the repo
git clone --depth 1 https://github.com/OutlineDriven/outline-driven-development

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for cybernetic-loop

README.md
[![agentmods](https://agentmods.dev/badge/skills/outlinedriven/outline-driven-development/cybernetic-loop.svg)](https://agentmods.dev/skills/outlinedriven/outline-driven-development/cybernetic-loop)
Your own site
<a href="https://agentmods.dev/skills/outlinedriven/outline-driven-development/cybernetic-loop"><img src="https://agentmods.dev/badge/skills/outlinedriven/outline-driven-development/cybernetic-loop.svg" alt="Measured on agentmods" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,336 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.01336
Opus 5 $0.00021 $0.00668
Sonnet 5 $0.00008 $0.00267
Haiku 4.5 $0.00004 $0.00134

Measured today against content hash 4679a4e9213b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

cybernetic-loop scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.devin/skills/cybernetic-loop/SKILL.md · 48 lines

How it starts

The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cybernetic loop

Contract

Field Bound contract
Trigger Use only when the caller names one falsifiable invariant outside the prior happy path, such as reorganization, peer-to-peer behavior, or index recovery, together with one finite patch budget. Do not use this workflow for normal feature delivery or as a universal retry loop.
Authority Reversible local: writes only budgeted candidate patches within the bounded local working-tree scope recorded before mutation; rollback is restoring the pre-run checkpoint byte-for-byte, including any pre-existing state. No remote mutation.
Side effect Mutates the working tree only through candidate patches applied after the checkpoint. Keep a candidate only when the full frozen check set shows that at least one failing check now passes and no previously passing check fails; otherwise revert that candidate. On non-convergence, revert every retained candidate to the checkpoint.
Done Return exactly one terminal status: already-holds when the full frozen check set passes before mutation; restored when all frozen checks pass together in one run within budget; or non-converged after restoring the checkpoint and returning the run transcript.

Inputs

  • Exactly one caller-supplied invariant stated so a check can falsify it. It must describe behavior outside the prior happy path.
  • One caller-supplied finite positive-integer patch budget. Each attempted candidate patch consumes one unit whether kept or reverted.
  • The repository working tree and its existing executable checks. No candidate patch or new evidence may be supplied as an assumed result.

Use only the literal run concepts invariant, executable check set, patch budget, candidate patch, check result, checkpoint, and run transcript; do not reinterpret the procedure through control-theory metaphors.

Procedure

  1. Validate that there is exactly one falsifiable invariant and that the patch budget is a finite positive integer. Reject normal feature work, a happy-path request, a universal retry request, or an invariant whose truth cannot be executed as a check. Done when: exactly one falsifiable invariant and a finite positive-integer budget are validated, or the run is rejected.
  2. Derive the smallest working-tree scope that can restore the invariant. Record that scope; any required change outside it is scope widening and must stop the run. Done when: the smallest scope is derived and recorded.
  3. Translate the invariant without weakening it into an executable check with explicit pass and fail results. Combine it with the repository's existing executable checks. Freeze and echo the complete check set, exact commands, pass criteria, bounded scope, and patch budget as the run contract; do not add, remove, weaken, or replace a check after this point. Done when: the frozen run contract is echoed with the complete check set, commands, criteria, scope, and budget.
  4. Create a checkpoint that can restore every byte in the bounded scope to its pre-run state, including pre-existing edits. If an exact checkpoint cannot be made, stop before mutation as non-converged with an unavailable recovery mechanism. Done when: the checkpoint can restore every byte in the bounded scope, or the run stops as non-converged.
  5. Run the full frozen check set before mutation and record every check result. If all checks pass in this one run, return already-holds without changing the working tree. Done when: all check results are recorded, or already-holds is returned.
  6. While checks fail and budget remains, select one failing result and apply the smallest candidate patch within the bounded scope that could restore it. Spend one budget unit, run the full frozen check set, and record the patch and every result. Done when: one candidate patch is applied, budget is spent, and full check results are recorded.
  7. Compare that run with the immediately preceding retained state. Keep the candidate only if at least one previously failing check passes and every previously passing check still passes. Otherwise revert the candidate exactly while retaining the spent budget unit. Done when: the candidate is kept or reverted with the decision and budget recorded.
  8. After each full run, return restored only if every frozen check passes together. Otherwise stop as non-converged if the budget is exhausted, an equivalent failure repeats, check results oscillate between prior states, any frozen check becomes unavailable, or restoration requires scope widening. Done when: restored is returned or non-converged is declared with a named stop class.
  9. For every non-converged stop, restore the whole bounded scope to the checkpoint before returning the complete run transcript. If restoration itself fails, report that recovery failure explicitly and do not claim a terminal success status. Done when: the bounded scope is restored to the checkpoint and the run transcript is returned, or recovery failure is reported.

Read the full file on GitHub · 48 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. today Changed · -10 tokens per session 4679a4e9213b
  2. 2d ago First seen · 48 lines · 52 tokens per session scan A 6a17f52ccafb

Subscribe to this mod's changes

cybernetic-loop is a skill published in the GitHub repository OutlineDriven/outline-driven-development (52 stars, last pushed yesterday), licensed Apache-2.0. It adds 42 tokens to every session and 1,336 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.