coding-agent

A structured coding workflow that guides an agent through reading the code, planning the change, implementing it, testing it, and verifying the result.

In plain words
What is it for?
Use it when adding features, fixing bugs, modifying source code, building components, or setting up a project.
Why use it?
It helps keep code changes focused and compatible with the existing project by checking source files, tests, types, conventions, and configuration before editing.

Skill for Claude CodeCodex

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/spytensor/openmozi/coding-agent
Any agent
npx skills add spytensor/openmozi --skill coding-agent
Clone the repo
git clone --depth 1 https://github.com/spytensor/openmozi

Made for: Claude Code, Codex.

Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 676 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 $0.00016 $0.00676
Opus 5 $0.00008 $0.00338
Sonnet 5 $0.00003 $0.00135
Haiku 4.5 $0.00002 $0.00068

Measured yesterday against content hash d8db2a8c0323, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

coding-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 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.

skills/coding-agent/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Coding Agent

When to Use

  • User asks to implement a feature, fix a bug, or modify code
  • User asks to build, create, or set up a project or component
  • Any task that involves writing or modifying source code
  • Always active: enforces the structured workflow for all coding tasks

How to Execute

Phase 1: Read & Understand

  1. Read the relevant source files to understand the current state.
  2. Identify the exact files, functions, and lines that need to change.
  3. Check for existing tests, types, and conventions in the codebase.
  4. Read any related config files, schemas, or documentation.

Phase 2: Plan

  1. State what will change and what will NOT change.
  2. List every file to be modified or created.
  3. If the change is non-trivial (>20 lines), describe the approach before writing code.
  4. If the request conflicts with existing architecture, state the conflict and options.
  5. Get user confirmation on the plan for large changes.

Phase 3: Implement

  1. Make the minimum change that satisfies the requirement.
  2. Match existing code style — indentation, naming, patterns.
  3. Add JSDoc to public functions. Use TypeScript strict types.
  4. Handle errors explicitly — no silent swallows, no bare catch {}.
  5. Add timeouts to external I/O calls.
  6. Do NOT refactor unrelated code unless explicitly asked.

Phase 4: Test

  1. Run existing tests to ensure nothing is broken: pnpm test.
  2. If new behavior was added, write tests that prove it works.
  3. Tests must cover: happy path, error case, edge case.
  4. Mock external boundaries in unit tests; keep real provider calls in explicit integration tests.

Phase 5: Verify

  1. Run pnpm build to confirm TypeScript compiles cleanly.
  2. Run pnpm test to confirm all tests pass.
  3. List every file modified and summarize each change.
  4. Identify the most likely failure point in the new code.

Examples

Input: "Add a health check endpoint to the API" Workflow: Read index.ts and Fastify setup → Plan: add GET /health route → Implement the route → Write test → Verify build + tests pass.

Read the full file on GitHub · 71 lines

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 First seen · 71 lines · 16 tokens per session scan A d8db2a8c0323

Subscribe to this mod's changes

coding-agent is a skill published in the GitHub repository spytensor/openmozi (192 stars, last pushed 25d ago), licensed MIT. It adds 16 tokens to every session and 676 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 2026-08-30.

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