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.
curl -O https://raw.githubusercontent.com/shep-ai/shep/main/.claude/skills/shep-kit-implement/SKILL.mdgit clone --depth 1 https://github.com/shep-ai/shepWrote 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.
[](https://agentmods.dev/skills/shep-ai/shep/shep-kit-implement)<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/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.
<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="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 3 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 5.5 | $0.00019 | $0.00918 |
| Sonnet 5.5 | $0.00009 | $0.00459 |
| Haiku 4.5 | $0.00005 | $0.00230 |
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 1mo 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.
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:implementexplicitly - After completing planning phase and ready to write code
Don't use if:
- Planning is not complete (
plan.yamlortasks.yamlmissing) - 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.yamlsequentially - Real-Time Status Tracking - Updates
feature.yamlthroughout 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 specificationresearch.yaml- Technical decisions documentedplan.yaml- Implementation strategytasks.yaml- Task breakdown with acceptance criteriafeature.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: truein YAML) - Tasks have clear acceptance criteria (
tasks.yamltasks[].acceptanceCriteria) - Success criteria defined in
spec.yaml
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.
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.
- 1mo ago First seen · 374 lines · 47 tokens per session scan A 8098f0bbb7a5
shep-kit:implement is a skill published in the GitHub repository shep-ai/shep (267 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 2,295 once invoked, about $0.0002 per session on Opus 5.5. 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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