cycle-memo

cycle-memo is a skill for Codex from OutlineDriven/outline-driven-development. It costs 46 tokens per session (1,141 once invoked), scanned A, original, Apache-2.0.

A post-cycle learning memo that records evidence-based lessons and a plan for the next attempt. It helps a new coding agent understand what to keep, discard, and test first.

In plain words
What is it for?
Use it to document what happened during a project cycle, identify failed patterns, and define the next cycle's tests and working rules.
Why use it?
It prevents useful lessons from being lost after a build, review, demo, complaint, or failed attempt. It also links each lesson to observed evidence and a check that can catch the problem.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to document what happened during a project cycle, identify failed patterns, and define the next cycle's tests and working rules.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/outlinedriven/outline-driven-development/cycle-memo/github.svg)](https://agentmods.dev/skills/outlinedriven/outline-driven-development/cycle-memo)
Your own site
<a href="https://agentmods.dev/skills/outlinedriven/outline-driven-development/cycle-memo"><img src="https://agentmods.dev/badge/skills/outlinedriven/outline-driven-development/cycle-memo/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for cycle-memo

Your own site · 80×15
<a href="https://agentmods.dev/skills/outlinedriven/outline-driven-development/cycle-memo"><img src="https://agentmods.dev/badge/skills/outlinedriven/outline-driven-development/cycle-memo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,141 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00046 $0.01141
Opus 5 $0.00023 $0.00571
Sonnet 5 $0.00009 $0.00228
Haiku 4.5 $0.00005 $0.00114

Measured 2d ago against content hash 184db79f0e30, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

cycle-memo 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 2d ago.

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.

.devin/skills/cycle-memo/SKILL.md · 45 lines

How it starts

The opening of the file, as written. The whole thing — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cycle memo

Contract

Field Bound contract
Trigger After a build, QA pass, demo, user complaint, or abandoned attempt when the useful output is what the next pass must learn rather than the code itself.
Authority Reversible local: writes or refreshes only local docs under the project; rollback is restoring or deleting those docs. No VCS, credential, published, deployed, or remote mutation.
Side effect Writes or refreshes local docs for the cycle: a memo for lessons and a plan for next-cycle contracts, gates, and vocabulary.
Done Every lesson traces to observed cycle evidence; every anti-pattern names a concrete failure mode and the gate that catches it; no lesson is a single reported case in disguise (each covers a class with specifics as evidence); a fresh agent can tell what to preserve, discard, and test first without reading the whole old session.

Inputs

Required: the original objective for the cycle and the final artifact it produced. Without both, lessons cannot be traced to evidence and the skill stops blocked.

Optional but cited when present: QA evidence, user complaints, screenshots, transcripts, diffs, and local planning notes.

Procedure

  1. Bound scope before mutation: extract lessons, not a changelog. File lists and effort summaries are not lessons. Do not defend the artifact; if it missed the product, say what missed. Done when: the scope is bounded to lesson extraction, not changelog or defense.
  2. Gather cycle inputs: the original objective, the final artifact, QA evidence, user complaints, and any local planning notes. If the objective or final artifact is unavailable, stop and report blocked. Done when: the objective and final artifact are gathered, or the run stops blocked.
  3. Separate working assets from misleading progress. List contracts, schemas, tests, services, vocabulary, and examples that earned reuse; set aside UI, panels, scaffolds, or abstractions that only looked productive. Preserve negative corpus: failed paths are training data, not deletions. Done when: working assets and misleading progress are separated, with failed paths preserved as negative corpus.
  4. Generalize before recording. When feedback arrives as many specific complaints, cluster them upward into the shared root gap before writing anything. Record the root and its pattern family as the lesson; keep the specifics under it as evidence, not as lessons. A lesson that only fixes the reported case keeps the system human-in-the-loop: the same class returns anywhere a person did not point. Escalate every specific to the pattern that catches its whole class; the reporter's exact words are evidence, not the gate. Done when: every specific complaint is escalated to its pattern-level lesson with specifics kept as evidence.
  5. Name each failure as an anti-pattern naming a concrete failure mode, not a mood. Done when: every failure is named as a concrete failure mode, not a mood.
  6. Convert repeated or high-impact failures into quality gates for the next pass. Prefer hard gates over advice. Done when: repeated or high-impact failures have hard gates, not advice.
  7. Convert vague user direction into architecture vocabulary a fresh agent can use. Done when: vague direction is converted to architecture vocabulary.
  8. Write or refresh local docs for the cycle: a memo for lessons and a plan for next-cycle contracts, gates, and vocabulary. Cite evidence from the cycle for every lesson: objective, file facts, QA output, screenshots, transcripts, diffs, or user feedback. Keep provenance local; shipped artifacts must not describe their development history. If the next agent cannot act on a lesson, it is not a lesson yet. Done when: the memo and next-cycle plan are written with every lesson citing cycle evidence.
  9. Verify a from-scratch agent could avoid the same failure from those docs alone: every lesson traces to observed cycle evidence; every anti-pattern names a concrete failure mode and the gate that catches it; no lesson is a single reported case in disguise; a fresh agent can tell what to preserve, discard, and test first without reading the whole old session. Done when: a from-scratch agent could avoid the same failure from the docs alone.

Read the full file on GitHub · 45 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. 2d ago Changed · -29 tokens per session 184db79f0e30
  2. 4d ago First seen · 45 lines · 75 tokens per session scan A 6efef155e2cd

Subscribe to this mod's changes

cycle-memo is a skill published in the GitHub repository OutlineDriven/outline-driven-development (52 stars, last pushed 3d ago), licensed Apache-2.0. It adds 46 tokens to every session and 1,141 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.

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