Borrowing it
Nothing to install: this file belongs to vpeetla-ai/react-agent-pattern. 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/vpeetla-ai/react-agent-pattern/main/.cursor/skills/setup-vpeetla-skills/SKILL.mdgit clone --depth 1 https://github.com/vpeetla-ai/react-agent-patternWrote 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/vpeetla-ai/react-agent-pattern/setup-vpeetla-skills)<a href="https://agentmods.dev/skills/vpeetla-ai/react-agent-pattern/setup-vpeetla-skills"><img src="https://agentmods.dev/badge/skills/vpeetla-ai/react-agent-pattern/setup-vpeetla-skills/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/vpeetla-ai/react-agent-pattern/setup-vpeetla-skills"><img src="https://agentmods.dev/badge/skills/vpeetla-ai/react-agent-pattern/setup-vpeetla-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00058 | $0.00356 |
| Opus 5.5 | $0.00023 | $0.00142 |
| Sonnet 5.5 | $0.00012 | $0.00071 |
| Haiku 4.5 | $0.00006 | $0.00036 |
Grade A, and why
setup-vpeetla-skills 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 2mo 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.
This is a copy
100% identical to setup-vpeetla-skills — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Setup vpeetla-ai Skills
Run once per repository.
Checklist
- Confirm repo is in vpeetla-ai org
- Install skills:
./scripts/install.sh --cursor --project .from vpeetla-ai-skills - Copy
CONTEXT.mdif missing (or symlink from skills repo) - Add
AGENTS.md(Codex) — merge, do not overwrite custom sections - Identify stack layer (see governed-ai-stack skill)
Ask the user
- Issue tracker: GitHub Issues / Linear / local
docs/issues/ - Triage labels: e.g.
agent-task,hitl-required,loopforge - Docs path:
docs/(default) oradr/
Write .vpeetla-skills.json in repo root
{
"issue_tracker": "github",
"docs_path": "docs",
"stack_layer": "self-improvement",
"gateway_required": false
}
Verify
-
pytest -qornpm testpasses (if applicable) - README has honest implementation status table
-
docs/ECOSYSTEM.mdor link to ai-architecture-portfolio exists for platform repos
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.
- 2mo ago First seen · 43 lines · 58 tokens per session scan A 944bd3875645
setup-vpeetla-skills is a skill published in the GitHub repository vpeetla-ai/react-agent-pattern (2 stars, last pushed 2mo ago), licensed MIT. It adds 58 tokens to every session and 356 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to setup-vpeetla-skills, differing in 0 lines, and is treated as a copy.
setup-vpeetla-skills compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| setup-vpeetla-skillsvpeetla-ai/react-agent-pattern | Skill | 2 | 2mo ago | MIT | A | 58 | Cursor |
| browser-usebrowser-use/browser-use | Skill | 120k | yesterday | MIT | A | 57 | Claude Code, Codex |
| data-visualizationlangchain-ai/deepagents | Skill | 31k | yesterday | MIT | A | 40 | Claude Code, Codex |
| content-hash-cache-patternaffaan-m/ECC | Skill | 298k | 4d ago | MIT | A | 30 | Claude Code, Kiro |
| cuml-machine-learninglangchain-ai/deepagents | Skill | 31k | yesterday | MIT | A | 43 | Claude Code, Codex |
| rememberlangchain-ai/deepagents | Skill | 31k | yesterday | MIT | A | 71 | Claude Code, Codex |
| deepagents-thread-inspectorlangchain-ai/deepagents | Skill | 31k | yesterday | MIT | A | 93 | Claude Code, Codex |