implement

implement is a skill for Codex from dayfinggg/openai-codex-agent-skills. It costs 56 tokens per session (679 once invoked), scanned A, original, MIT.

A workflow for making an authorized, focused change to code or configuration and checking that it works.

In plain words
What is it for?
Use it to build features, fix bugs, update configuration, inspect the resulting diff, and run focused or broader tests.
Why use it?
It keeps implementation tied to a settled request, limits unrelated edits, and requires verification rather than relying only on a successful build.

Skill for Codex

Written for Codex: agents/openai.yaml present.

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.

agentmods
npx agentmods add skills/dayfinggg/openai-codex-agent-skills/implement
Any agent
npx skills add dayfinggg/openai-codex-agent-skills --skill implement
Clone the repo
git clone --depth 1 https://github.com/dayfinggg/openai-codex-agent-skills

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 implement

README.md
[![agentmods](https://agentmods.dev/badge/skills/dayfinggg/openai-codex-agent-skills/implement.svg)](https://agentmods.dev/skills/dayfinggg/openai-codex-agent-skills/implement)
Your own site
<a href="https://agentmods.dev/skills/dayfinggg/openai-codex-agent-skills/implement"><img src="https://agentmods.dev/badge/skills/dayfinggg/openai-codex-agent-skills/implement.svg" alt="Measured on agentmods" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 679 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00056 $0.00679
Opus 5 $0.00028 $0.00340
Sonnet 5 $0.00011 $0.00136
Haiku 4.5 $0.00006 $0.00068

Measured yesterday against content hash 6a3a47b612c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

implement 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.

codex/skills/implement/SKILL.md · 37 lines

How it starts

The opening of the file, as written. The whole thing — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implement

Deliver the requested behavior with the smallest coherent change and evidence that it works.

Prepare

Read the governing instructions, target files, relevant tests, and one local precedent. Restate the required outcome internally and identify the narrowest verification that can prove it. Ask only if a missing decision would materially change behavior or risk.

When progress depends on another subsystem or owner, locate the owning code, documentation, or person early. Ask one concise question with the observed evidence, required decision, and expected outcome, then record the answer instead of spending days reverse-engineering an unavailable contract in isolation.

Distinguish an estimate from a commitment. Before committing to a date or irreversible scope, expose material uncertainty, external dependencies, and assumptions. Commit only to actions within the task's control, and define the next checkpoint when evidence is still incomplete.

Change

Preserve user work and repository conventions. Before writing custom code, check whether no change is needed, the behavior already exists in the codebase, the standard library or native platform covers it, or an already-installed dependency solves it. Use the first option that completely satisfies the current requirements. Add a new dependency only when its current benefit outweighs its ownership, update, compatibility, and security costs. Keep the patch focused, update all affected callers, and avoid compatibility layers that the request does not require. Do not refactor adjacent code unless it is necessary for correctness.

Raise an early warning as soon as evidence invalidates the forecast or required scope. Negotiate scope, priority, sequencing, or a safe fallback instead of promising to "try" without a credible path. Schedule pressure does not justify silently dropping required tests, review, migration safety, or structural safeguards.

Run safe independent reads and checks efficiently. Continue through ordinary in-scope external writes, commits, pushes, and deployments when the user or trusted project rules authorize the workflow. Stop only before a genuinely dangerous action that lacks exact authorization, a purchase, or a material scope expansion.

Read the full file on GitHub · 37 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. yesterday Changed · +10 lines 6a3a47b612c1
  2. 6d ago First seen · 27 lines · 56 tokens per session scan A 06c1554cd980

Subscribe to this mod's changes

implement is a skill published in the GitHub repository dayfinggg/openai-codex-agent-skills (4 stars, last pushed 2d ago), licensed MIT. It adds 56 tokens to every session and 679 once invoked, about $0.0003 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.

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