What is shep-kit:implement?

An implementation workflow that validates feature documents and executes their tasks in order. It tracks progress in a feature status file and can resume from the last completed task.

Use it after the specification, research, plan, and task files are complete to carry out the planned coding work and update its status.

It adds checks before code changes begin and keeps progress visible during implementation. It also handles task errors with limited retry and debugging attempts.

shep-kit:implement — Skill for Claude Code by shep-ai: An implementation workflow that validates feature documents and executes…

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/shep-ai/shep/shep-kit-implement

Any agent

npx skills add shep-ai/shep --skill shep-kit-implement

Clone the repo

git clone --depth 1 https://github.com/shep-ai/shep

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/shep-ai/shep/shep-kit-implement.svg)](https://agentmods.dev/skills/shep-ai/shep/shep-kit-implement)

Your own site

<a href="https://agentmods.dev/skills/shep-ai/shep/shep-kit-implement"><img src="https://agentmods.dev/badge/skills/shep-ai/shep/shep-kit-implement.svg" alt="Measured on agentmods" height="20"></a>

Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,295 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.

Model	Per session	Once invoked
Fable 5.1	$0.00047	$0.02295
Opus 5	$0.00023	$0.01148
Sonnet 5	$0.00009	$0.00459
Haiku 4.5	$0.00005	$0.00230

Measured 6d ago against content hash 8098f0bbb7a5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

shep-kit:implement 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 6d 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.

.claude/skills/shep-kit-implement/SKILL.md · 374 lines

How it starts

The opening of the file, as written. The whole thing — 374 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Autonomous Implementation Executor

When to Use

Use this skill after /shep-kit:plan has created plan.yaml and tasks.yaml, and you're ready to start implementation.

Triggers:

User says "implement", "start implementation", "execute tasks"
User runs /shep-kit:implement explicitly
After completing planning phase and ready to write code

Don't use if:

Planning is not complete (plan.yaml or tasks.yaml missing)
Specs have open questions that need resolution
Architecture decisions are not finalized

What This Skill Does

Pre-Implementation Validation - Comprehensive quality gates
Autonomous Task Execution - Executes all tasks from tasks.yaml sequentially
Real-Time Status Tracking - Updates feature.yaml throughout execution
Smart Error Handling - Retry with debugging (max 3 attempts per task)
Session Resumption - Automatically continues from last task on re-run

Prerequisites

Required YAML source files in spec directory:

spec.yaml - Complete feature specification
research.yaml - Technical decisions documented
plan.yaml - Implementation strategy
tasks.yaml - Task breakdown with acceptance criteria
feature.yaml - Status tracking file (created by :new-feature)

Workflow

Phase 1: Validation Gate

Run comprehensive validation BEFORE starting implementation:

pnpm spec:validate <feature-id>

This script validates all 3 categories (completeness, architecture, consistency) against the YAML source files. See validation/*.md for the detailed rules it implements.

1.1 Basic Completeness Check

Required YAML files exist (spec.yaml, research.yaml, plan.yaml, tasks.yaml, feature.yaml)
All required keys present in each YAML file
Open questions resolved (openQuestions[].resolved: true in YAML)
Tasks have clear acceptance criteria (tasks.yaml tasks[].acceptanceCriteria)
Success criteria defined in spec.yaml

Read the full file on GitHub · 374 lines

Files

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.

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.

6d ago First seen · 374 lines · 47 tokens per session scan A 8098f0bbb7a5

Subscribe to this mod's changes

shep-kit:implement is a skill published in the GitHub repository shep-ai/shep (247 stars, last pushed 2d ago), licensed MIT. It adds 47 tokens to every session and 2,295 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 2026-08-30.

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