shep: Skill for Claude Code

.claude/skills/shep-kit-new-feature/SKILL.md

shep-kit:new-feature is a skill for Claude Code from shep-ai/shep. It costs 71 tokens per session (1,330 once invoked), scanned A, original, MIT.

A specification workflow for starting new software features through requirements, research, planning, implementation, and completion.

In plain words
What is it for?
Use it to create a numbered feature branch, scaffold specification files, and manage each phase of a spec-driven development process.
Why use it?
It gives a feature a tracked specification and branch before development begins.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: reads .claude/ paths.

This is shep-ai/shep's own configuration. It tells Claude Code how to work on shep itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything shep configures →

Reuse

Borrowing it

Nothing to install: this file belongs to shep-ai/shep. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/shep-ai/shep/main/.claude/skills/shep-kit-new-feature/SKILL.md
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.

agentmods badge for shep-kit:new-feature

README.md
[![agentmods](https://agentmods.dev/badge/skills/shep-ai/shep/shep-kit-new-feature/github.svg)](https://agentmods.dev/skills/shep-ai/shep/shep-kit-new-feature)
Your own site
<a href="https://agentmods.dev/skills/shep-ai/shep/shep-kit-new-feature"><img src="https://agentmods.dev/badge/skills/shep-ai/shep/shep-kit-new-feature/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for shep-kit:new-feature

Your own site · 80×15
<a href="https://agentmods.dev/skills/shep-ai/shep/shep-kit-new-feature"><img src="https://agentmods.dev/badge/skills/shep-ai/shep/shep-kit-new-feature.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,330 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00071 $0.01330
Opus 5 $0.00036 $0.00665
Sonnet 5 $0.00014 $0.00266
Haiku 4.5 $0.00007 $0.00133

Measured 12d ago against content hash 6b969b0824f0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

shep-kit:new-feature 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/init-feature.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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-new-feature/SKILL.md · 172 lines

How it starts

The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create New Feature Specification

Start spec-driven development by creating a feature branch and specification directory.

Full workflow guide: docs/development/spec-driven-workflow.md

Phase Lifecycle

Requirements → Research → Planning → Implementation → Complete
    ↓             ↓           ↓            ↓            ↓
 spec.yaml   research.yaml plan.yaml   tasks.yaml   all files
    ↓             ↓           ↓            ↓            ↓
 spec.md     research.md   plan.md     tasks.md     (auto-generated)

CRITICAL: Each phase MUST update the Phase status field before proceeding.

IMPORTANT: Edit YAML files, not Markdown.

Workflow

1. Gather Minimal Input

Ask the user for:

  • Feature name (kebab-case, e.g., user-authentication)
  • One-liner description (brief summary)

2. Create Branch

# Determine next number
NEXT_NUM=$(ls -d specs/[0-9][0-9][0-9]-* 2>/dev/null | wc -l | xargs printf "%03d" $(($ + 1)))
# If no specs exist, use 001
[ -z "$NEXT_NUM" ] && NEXT_NUM="001"

# Create branch from main
git checkout main && git pull
git checkout -b "feat/${NEXT_NUM}-${FEATURE_NAME}"

3. Run Init Script

Execute the scaffolding script:

.claude/skills/shep-kit-new-feature/scripts/init-feature.sh <NNN> <feature-name>

This creates specs/NNN-feature-name/ with all template files using a YAML-first approach:

  • YAML source files: spec.yaml, research.yaml, plan.yaml, tasks.yaml (source of truth)
  • Markdown files: spec.md, research.md, plan.md, tasks.md (auto-generated from YAML)
  • Status tracking: feature.yaml (implementation status, unchanged)

4. Analyze Context

Before filling the spec, analyze:

  • Existing specs: Read specs/*/spec.yaml (or specs/*/spec.md) to understand feature landscape and discover dependencies
  • Codebase: Identify affected areas, patterns, existing implementations
  • Cross-reference: Infer dependencies, impact areas, size estimate

Read the full file on GitHub · 172 lines

Files

What ships with it

8 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. 12d ago First seen · 172 lines · 71 tokens per session scan A 6b969b0824f0

Subscribe to this mod's changes

shep-kit:new-feature is a skill published in the GitHub repository shep-ai/shep (251 stars, last pushed 4d ago), licensed MIT. It adds 71 tokens to every session and 1,330 once invoked, about $0.0004 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.

Related

Other skills, from other repositories

parallel-feature-development

Coordinate parallel feature development with file ownership strategies, conflict avoidance rules, and integration patterns for multi-agent implementation. Use this skill when decomposing a large feature into independent work streams, when two or more agents need to implement different layers of the same system…

wshobson/agents · 105 tokens

nft-standards

Implement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration. Use when creating NFT contracts, building NFT marketplaces, or implementing digital asset systems.

wshobson/agents · 48 tokens

cost-optimization

Optimize cloud costs across AWS, Azure, GCP, and OCI through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.

wshobson/agents · 48 tokens

istio-traffic-management

Configure Istio traffic management including routing, load balancing, circuit breakers, and canary deployments. Use when implementing service mesh traffic policies, progressive delivery, or resilience patterns.

wshobson/agents · 40 tokens

postgresql-table-design

Use this skill when designing or reviewing a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features.

wshobson/agents · 37 tokens

spark-training-gotchas

Preflight and diagnose the ten known failure modes for ML training on NVIDIA DGX Spark. Use when a training run on DGX Spark fails to start, OOMs below the 128GB limit, slows down mid-run, or before any multi-hour training job on GB10.

wshobson/agents · 63 tokens