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 skills add tushaarmehtaa/tushar-skills --skill skill-creatorgit clone --depth 1 https://github.com/tushaarmehtaa/tushar-skillsWrote 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/tushaarmehtaa/tushar-skills/skill-creator)<a href="https://agentmods.dev/skills/tushaarmehtaa/tushar-skills/skill-creator"><img src="https://agentmods.dev/badge/skills/tushaarmehtaa/tushar-skills/skill-creator/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/tushaarmehtaa/tushar-skills/skill-creator"><img src="https://agentmods.dev/badge/skills/tushaarmehtaa/tushar-skills/skill-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.01387 |
| Opus 5 | $0.00018 | $0.00694 |
| Sonnet 5 | $0.00007 | $0.00277 |
| Haiku 4.5 | $0.00004 | $0.00139 |
Grade A, and why
skill-creator 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 7d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill creator
Turn a repeatable workflow into a compact specialist package, or improve an existing package without erasing its effective domain knowledge. Optimize for correct behavior on real requests rather than conformity to one Markdown template.
Choose the mode
- Create — build a new package from concrete usage examples.
- Improve — diagnose and revise an existing package while preserving working behavior.
- Merge — combine overlapping packages, reconcile triggers and resources, and define migration boundaries.
- Validate — inspect structure, resource routing, triggers, and behavior without changing the package unless asked.
Read the current package, repository conventions, validators, and catalog metadata before asking questions. Ask only for intent that cannot be recovered and would materially alter trigger scope, side effects, or output.
Model real usage
Collect or derive representative prompts:
- direct requests that should trigger;
- common paraphrases and incomplete requests;
- near-miss requests that belong to another skill;
- multi-turn requests where the skill becomes relevant later;
- risky, unavailable, or ambiguous cases that require a branch;
- examples of successful output and known failure modes.
For each positive example, outline the execution path from inputs to verified outcome. Identify decisions that depend on context and operations that should remain deterministic.
Audit an existing package
When improving or merging, inventory:
- frontmatter trigger coverage and collisions;
- user inputs, inferred context, and unnecessary questions;
- decision branches and missing failure paths;
- domain rules versus generic advice;
- output and side-effect contract;
- verification that exercises behavior rather than checking ingredients;
- every reference, script, and asset, including reachability and duplication;
- runtime-specific assumptions and portability constraints.
Preserve concise, evidence-backed instructions and tested resources. Remove false precision, unsupported claims, authorial house style, and formatting rules that do not affect behavior.
What ships with it
1 file 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.
- 7d ago Changed · +2 lines 6b2008471cc0
- 12d ago First seen · 136 lines · 36 tokens per session scan A c65b64484879
skill-creator is a skill published in the GitHub repository tushaarmehtaa/tushar-skills (11 stars, last pushed 2d ago), licensed MIT. It adds 36 tokens to every session and 1,387 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
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…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…