feature-implementer

A feature implementation coordinator that starts from a Jira ticket, a work item used to track software tasks. It reads the ticket and coordinates specialist agents to implement the feature.

In plain words
What is it for?
Implementing complete features from Jira tickets and delivering the resulting code.
Why use it?
It reduces the manual work of turning a Jira requirement into code that follows the project's standards.

Agent

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 agents/wonjun3991/study/feature-implementer
Clone the repo
git clone --depth 1 https://github.com/wonjun3991/study
Per session 49 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 6,371 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown 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 $0.00049 $0.06371
Opus 5 $0.00024 $0.03186
Sonnet 5 $0.00010 $0.01274
Haiku 4.5 $0.00005 $0.00637

Measured yesterday against content hash a6e10429da66, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

feature-implementer scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

1. **Fetch Requirements** from Jira (using curl-based Jira API)
presentation/harness-engineering/reference/agents/feature-implementer.md · 729 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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 · 729 lines · 49 tokens per session scan A a6e10429da66

Subscribe to this mod's changes

feature-implementer is an agent published in the GitHub repository wonjun3991/study (2 stars, last pushed 3mo ago), with no licence file. It adds 49 tokens to every session and 6,371 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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