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/tomzx/agents/create-lifecyclenpx skills add tomzx/agents --skill create-lifecyclegit clone --depth 1 https://github.com/tomzx/agentsWhat 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 | $0.00028 | $0.01651 |
| Opus 5 | $0.00014 | $0.00826 |
| Sonnet 5 | $0.00006 | $0.00330 |
| Haiku 4.5 | $0.00003 | $0.00165 |
Grade A, and why
create-lifecycle 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.
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Lifecycle
Documents how resources managed by a feature evolve over time and what causes them to change. Produces a lifecycle document covering states, transitions, invariants, retention policies, and event emissions for each resource that has a meaningful lifecycle.
Without this step, resource state machines are implicit in the code and scattered across API handlers, database constraints, and application logic. When a new state is added or a transition rule changes, there is no single source of truth to consult, so inconsistencies arise between what the API allows, what the database enforces, and what the UI presents.
For features that do not manage resources with a lifecycle (a pure config change, a read-only dashboard, a documentation update), skip this phase and state the skip explicitly.
Prerequisites
- Apply the shared SDLC conventions in
skills/sdlc/references/shared.md. - If no argument is provided, locate the feature directory under
.sdlc/features/whose frontmatterissuefield references$ISSUE_NUMBER. .sdlc/features/N-<slug>/specification.md(must have passed review with findings verdictapproved), or a specification document provided in context or as a file path ($1).sdlc/features/N-<slug>/requirements.md(optional, for cross-referencing functional requirements that drive lifecycle behavior).sdlc/features/N-<slug>/codebase-analysis.md(optional, if existing code was analyzed): reuse existing state machines or enums, and honor any "must not change" constraints on shared resource models
Steps
- Read the specification, requirements (if present), and codebase analysis (if present).
- Decide whether the feature manages resources with a meaningful lifecycle. If it does not, emit
verdict: skipped(do not writelifecycle.md). Theskippedverdict routes the pipeline straight to the next phase, bypassing/review-lifecycle. - Identify every resource the feature creates, modifies, or tracks that has a lifecycle (resources that pass through distinct states, have retention policies, or emit events on state changes).
- For each resource, determine its lifecycle type:
- State Machine: the resource moves between named states via defined transitions (e.g., order: pending -> paid -> shipped -> delivered).
- Linear: the resource progresses through a one-way sequence without branching (e.g., a build: queued -> running -> succeeded/failed).
- CRUD: the resource has no meaningful state beyond created/updated/deleted (document only if retention or expiry applies).
- For each resource with a state machine or linear lifecycle, draw a state diagram showing all states and transitions.
- For each state, document its meaning, entry condition, exit condition, and a reference to the specification section that defines the behavior.
- For each transition, document the trigger (event, API call, timer, condition), the actor (user, system, external), side effects (notifications, cascading updates, event emissions), and guard conditions (preconditions that must hold).
- Define invariants: conditions that must always hold regardless of state (e.g., "a subscription cannot be active without a valid payment method"). Document how each is enforced and what happens on violation.
- Specify retention and expiry policies: how long resources persist, what triggers expiry, and what cleanup action is taken (hard delete, archive, anonymize).
- List events emitted on transitions, including payload, downstream consumers, and cross-references to the specification or telemetry plan.
- Write the output to
.sdlc/features/N-<slug>/lifecycle.md.
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 · 119 lines · 28 tokens per session scan A 5aae5877c400
create-lifecycle is a skill published in the GitHub repository tomzx/agents (5 stars, last pushed 4d ago), licensed MIT. It adds 28 tokens to every session and 1,651 once invoked, about $0.0001 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 2026-08-31.
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…