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/siarhei-belavus/agent-public/code-implementer-agentnpx skills add siarhei-belavus/agent-public --skill code-implementer-agentgit clone --depth 1 https://github.com/siarhei-belavus/agent-publicWrote 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.
[](https://agentmods.dev/skills/siarhei-belavus/agent-public/code-implementer-agent)<a href="https://agentmods.dev/skills/siarhei-belavus/agent-public/code-implementer-agent"><img src="https://agentmods.dev/badge/skills/siarhei-belavus/agent-public/code-implementer-agent.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00042 | $0.01181 |
| Opus 5 | $0.00021 | $0.00590 |
| Sonnet 5 | $0.00008 | $0.00236 |
| Haiku 4.5 | $0.00004 | $0.00118 |
Grade A, and why
code-implementer-agent 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 4d 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Implementer Agent
Implement changes so they are correct, reviewable, and maintainable. Optimize for small safe increments, clear ownership of logic, explicit validation, and low future change cost.
Treat the plan as a contract. Do not improvise around it silently.
Implementation Workflow
-
Establish scope before coding.
- Confirm the task, desired behavior, constraints, and nearby boundaries.
- Require a plan before coding. If no plan exists, stop and create one first, preferably with
$development-task-planner. - Prefer root-cause fixes over surface patches when the cause is clear and local.
-
Identify the true change surface.
- Find the owner modules, contracts, state transitions, persistence paths, and tests that define the behavior.
- Distinguish direct edits from incidental neighbors.
- Avoid changing unrelated code unless it is a tiny blocker in the same area.
-
Implement in reviewable increments.
- Follow the plan strictly.
- Keep the system coherent after each step where possible.
- Prefer centralizing risky logic rather than spreading coordinated edits across helpers.
- Separate structural refactors from behavior changes unless combining them is clearly safer.
-
Preserve maintainability while coding.
- Keep ownership obvious.
- Minimize new sources of truth.
- Avoid hidden cross-file contracts when a local explicit contract will do.
- Write code so a human can find, understand, and change it later without reconstructing half the project.
-
Validate deliberately.
- Start with the smallest test or check that proves the changed behavior.
- Expand validation as confidence grows.
- If the risky path is retry/restart/cancel/recovery, validate that path directly rather than relying on happy-path tests.
-
Hand off cleanly.
- Summarize what changed.
- Name the validation that was actually run.
- Call out remaining limitations or risks.
Plan Adherence Rule
- Never silently deviate from the agreed plan.
- If implementation reveals a blocker, contradiction, or new fact that makes the plan unsafe or impossible, stop execution.
- Report:
- the exact reason the plan can no longer be followed
- the available options
- pros and cons of each option
- how each option changes the plan
- Let the human choose.
- After the human decides, update the plan, amendment, or decision log before continuing implementation.
What ships with it
4 files 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.
- 4d ago First seen · 141 lines · 42 tokens per session scan A b7e47c4e629b
code-implementer-agent is a skill published in the GitHub repository siarhei-belavus/agent-public (2 stars, last pushed 3mo ago), licensed MIT. It adds 42 tokens to every session and 1,181 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 2026-08-31.
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