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-implementationnpx skills add tomzx/agents --skill create-implementationgit 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 | $0.00021 | $0.01723 |
| Opus 5 | $0.00010 | $0.00861 |
| Sonnet 5 | $0.00004 | $0.00345 |
| Haiku 4.5 | $0.00002 | $0.00172 |
Grade A, and why
create-implementation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Implementation
Implements a feature or task following its specification, plan, and task decomposition. Produces working code that passes tests and meets all acceptance criteria.
Prerequisites
- Apply the shared SDLC conventions in
skills/sdlc/references/shared.md. - If no argument is provided, locate the feature directory under
.sdlc/features/whose frontmatterissuefield references$ISSUE_NUMBER. - A task description, specification, or plan provided in context or as
$1 .sdlc/features/N-<slug>/lifecycle.md(optional, if a lifecycle document was produced): implement state machines, transition guards, invariants, and retention policies alongside feature code.sdlc/features/N-<slug>/telemetry.md(optional, if a telemetry plan was produced): implement analytics events and telemetry alongside feature code.sdlc/features/N-<slug>/observability.md(optional, if an observability plan was produced): implement logging, metrics, tracing, and health checks alongside feature code- Access to the codebase for reading and editing
- Test suite available (or created alongside the implementation)
Workflow
Read spec / task
|
v
Create or reuse feature branch
|
v
Understand codebase context
(patterns, conventions, architecture)
|
v
Implement in small, verifiable steps
|
v
Run tests after each step
|
v
All acceptance criteria met?
/ \
Yes No
| |
v v
Done Fix gaps
Steps
- Read the task, specification, acceptance criteria, lifecycle document, telemetry plan, and observability plan (if present).
- Set the task frontmatter
status: in-progressin the corresponding.sdlc/features/N-<slug>/tasks/N-<slug>.mdfile. - Update the Task Progress table in
progress.mdto reflect the in-progress status. - Set up a feature branch (see Branching Strategy below).
- Explore the codebase to understand existing patterns, naming conventions, and architecture.
- Identify which files need to be created or modified.
- Implement the changes in small increments, verifying each step with tests.
- If a lifecycle document exists, implement state machines, transition guards, invariants, and retention policies as part of each relevant code change.
- If a telemetry plan exists, implement analytics events and telemetry as part of each relevant code change.
- If an observability plan exists, implement logging, metrics, tracing, and health checks as part of each relevant code change.
- Ensure all acceptance criteria are met.
- Check for code quality issues (naming, duplication, dead code).
- Run the full test suite and confirm it passes.
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.
- yesterday First seen · 173 lines · 21 tokens per session scan A 899b47c85c82
create-implementation is a skill published in the GitHub repository tomzx/agents (5 stars, last pushed 4d ago), licensed MIT. It adds 21 tokens to every session and 1,723 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…