feature-implementation

A workflow for implementing a requested product feature in an existing project and checking that it works. It focuses on understanding the requested behavior, making the smallest complete change, and running relevant verification.

In plain words
What is it for?
Use it to inspect a project, add a feature, update the necessary code, and run suitable tests or other checks.
Why use it?
It provides a focused path from a feature request to a tested implementation without leaving verification to chance.

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/agentpipe/pipebuilder/feature-implementation
Any agent
npx skills add agentpipe/pipebuilder --skill feature-implementation
Clone the repo
git clone --depth 1 https://github.com/agentpipe/pipebuilder

Made for: Claude Code, Codex.

Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 56 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 $0.00015 $0.00056
Opus 5 $0.00008 $0.00028
Sonnet 5 $0.00003 $0.00011
Haiku 4.5 $0.00002 $0.00006

Measured yesterday against content hash 18e85f95220d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

feature-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.

examples/multi-pipeline-project/shared-skills/feature-implementation/SKILL.md · 12 lines

What it actually says

Feature Implementation

Read the requested behavior, inspect the referenced project, implement the smallest complete change, and run relevant verification.

Files

What ships with it

2 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.

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 · 12 lines · 15 tokens per session scan A 18e85f95220d

Subscribe to this mod's changes

feature-implementation is a skill published in the GitHub repository agentpipe/pipebuilder (2 stars, last pushed 1mo ago), licensed MIT. It adds 15 tokens to every session and 56 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.

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