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.
npx agentmods add skills/jpoutrin/product-forge/create-skillnpx skills add jpoutrin/product-forge --skill create-skillgit clone --depth 1 https://github.com/jpoutrin/product-forgeWhat 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 | $0.00056 | $0.01071 |
| Opus 5 | $0.00028 | $0.00535 |
| Sonnet 5 | $0.00011 | $0.00214 |
| Haiku 4.5 | $0.00006 | $0.00107 |
Grade A, and why
create-skill 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 2d 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 — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Skill Skill
Create new Claude Code agent skills that Claude invokes autonomously based on task context.
Skill Structure
Each skill lives in its own folder within skills/:
skills/
└── skill-name/
├── SKILL.md # Main skill definition (required)
├── examples/ # Example files (optional)
│ └── example.md
└── templates/ # Templates (optional)
└── template.md
SKILL.md Format
---
name: skill-name
description: When and how Claude should use this skill. Be specific about triggers and use cases.
user-invocable: false
---
# Skill Title
Detailed instructions for how to apply this skill...
Required Frontmatter Fields
| Field | Description | Example |
|---|---|---|
name |
Unique identifier (kebab-case) | python-best-practices |
description |
When Claude should invoke this skill | Apply Python best practices when writing or reviewing Python code. Use for type hints, docstrings, and PEP compliance. |
Optional Frontmatter Fields
| Field | Description | Default | Example |
|---|---|---|---|
user-invocable |
Whether users can invoke skill with /skill-name |
true |
false for knowledge skills, true for action skills |
Writing Effective Descriptions
The description is critical - it tells Claude when to use the skill. Include:
- Trigger conditions: When should this skill activate?
- Use cases: What tasks benefit from this skill?
- Scope: What does and doesn't this skill cover?
Good Description Examples
description: Apply React best practices when creating or modifying React components. Use for hooks, state management, component structure, and performance optimization.
description: Enforce security best practices when writing code that handles user input, authentication, or sensitive data. Covers input validation, SQL injection prevention, and XSS protection.
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.
- 2d ago First seen · 184 lines · 56 tokens per session scan A db77024f7faf
create-skill is a skill published in the GitHub repository jpoutrin/product-forge (15 stars, last pushed 6mo ago), licensed MIT. It adds 56 tokens to every session and 1,071 once invoked, about $0.0003 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…