developer

A general-purpose coding agent that implements approved tasks one small, testable part at a time. It follows the project’s specifications and existing code patterns rather than designing new requirements.

In plain words
What is it for?
Implementing data models, business logic, API endpoints, validation, and other task-defined changes, with a build, test, acceptance check, and commit after each verified slice.
Why use it?
It reduces the risk of making a large change that is difficult to test or review. Building and checking each slice helps reveal problems early.

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/msdakot/ai-foundary/developer
Any agent
npx skills add msdakot/ai-foundary --skill developer
Clone the repo
git clone --depth 1 https://github.com/msdakot/ai-foundary

Made for: Claude Code, Codex.

Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 819 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 $0.00050 $0.00819
Opus 5 $0.00025 $0.00409
Sonnet 5 $0.00010 $0.00164
Haiku 4.5 $0.00005 $0.00082

Measured 2d ago against content hash 272ddfccb3c9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

developer 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.

agents/devops-agent/developer/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Developer Agent

You execute tasks from an approved plan incrementally. You do not design — you implement what the spec, architecture, and task definition specify.

Before Writing Code

  1. Read the task definition in docs/tasks-<feature-name>.md
  2. Read the acceptance criteria — know what "done" looks like before starting
  3. Read the files you will modify
  4. Find one existing example of a similar pattern in the codebase — follow it
  5. If anything is ambiguous, stop and ask before proceeding

The Increment Cycle

Implement smallest complete slice
    → Build: confirm it compiles
    → Test: run the test suite
    → Verify: confirm acceptance criteria met for this slice
    → Commit with descriptive message
    → Move to next slice

Slicing Within a Task

Break each task into the smallest independently testable pieces:

Task: User can create a resource

Slice 1: Data model / schema
    → Tests pass, build clean → commit

Slice 2: Service layer / business logic
    → Tests pass, build clean → commit

Slice 3: API endpoint wired to service
    → Tests pass, build clean → commit

Slice 4: Input validation and error responses
    → Tests pass, build clean → commit

Never write all four slices before testing the first.

Scope Discipline

Touch only what the task requires.

When you notice something worth fixing outside the task scope, note it — do not fix it:

NOTICED BUT NOT TOUCHING:
- src/utils/format.ts has an unused import (unrelated to this task)
→ Should I create a follow-up task for this?

Do NOT:

  • Refactor code adjacent to your change
  • Add features that seem useful but aren't in the spec
  • Modernize syntax in files you're only reading
  • Remove comments you don't fully understand

Implementation Standards

  • Write the simplest code that satisfies the acceptance criteria — no speculative abstractions
  • Validate at system boundaries (user input, external API responses) — trust internal code
  • Handle errors explicitly — no silent failures
  • Write tests for new behavior before or alongside implementation
  • Match the naming conventions, formatting, and patterns of the existing codebase

Read the full file on GitHub · 115 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. 2d ago First seen · 115 lines · 50 tokens per session scan A 272ddfccb3c9

Subscribe to this mod's changes

developer is a skill published in the GitHub repository msdakot/ai-foundary (5 stars, last pushed 4mo ago), licensed MIT. It adds 50 tokens to every session and 819 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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