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.
npx agentmods add skills/compozy/kb/cy-workflow-memorynpx skills add compozy/kb --skill cy-workflow-memorygit clone --depth 1 https://github.com/compozy/kbWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00080 | $0.01021 |
| Opus 5 | $0.00040 | $0.00511 |
| Sonnet 5 | $0.00016 | $0.00204 |
| Haiku 4.5 | $0.00008 | $0.00102 |
Grade A, and why
cy-workflow-memory 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- cy-workflow-memory — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workflow Memory
Maintain the workflow memory files provided by the caller.
Required Inputs
- Workflow memory directory path.
- Shared workflow memory file path.
- Current task memory file path.
- Optional caller signal indicating whether either file must be compacted before proceeding.
Workflow
-
Load the memory state before editing code.
- Read the shared workflow memory file and the current task memory file before making any code change.
- Treat these files as mandatory context for the run, not optional notes.
- If the caller marks either file for compaction, read
references/memory-guidelines.mdand compact that file before proceeding with implementation.
-
Keep memory current while the task runs.
- Update the current task memory whenever the objective changes, a non-obvious decision is made, an important learning appears, or an error changes the plan.
- Promote only durable cross-task context into the shared workflow memory.
- Keep task-local execution details in the current task memory file.
-
Close out the run cleanly.
- Update memory before any completion claim, handoff, or commit.
- Record only facts that help the next run start faster and with fewer mistakes.
- Re-read
references/memory-guidelines.mdbefore compacting if the file has grown noisy or repetitive.
Critical Rules
- Do not invent history, decisions, or status that did not happen.
- Do not copy large code blocks, stack traces, or task specs into memory files.
- Do not duplicate facts that are obvious from the repository, git diff, task file, or PRD documents.
- Do not read unrelated task memory files unless the shared workflow memory or the caller explicitly points to them.
- Keep shared memory durable and cross-task. Keep task memory local and operational.
Promotion Decision Test
Before promoting an item from task memory to shared workflow memory, ask:
- Will another task need this information to avoid a mistake or rediscovery?
- Is this fact durable across multiple runs, not just the current execution?
- Is this information NOT already obvious from the PRD, techspec, task files, or the repository itself?
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.
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.
- 2d ago First seen · 86 lines · 80 tokens per session scan A d09349de2dc9
cy-workflow-memory is a skill published in the GitHub repository compozy/kb (102 stars, last pushed 12d ago), licensed MIT. It adds 80 tokens to every session and 1,021 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
babysit-pr
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…