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.svg" alt="Measured on agentmods" 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 | $0.00029 | $0.00178 |
| Sonnet 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 8d 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.
- 8d 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 3d ago), licensed MIT. It adds 58 tokens to every session and 356 once invoked, about $0.0003 per session on Opus 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.
Other skills, from other repositories
what-have-we-done-today
Use when a recap of today's sessions, cron, and kanban helps.
canon
Orchestrator for the Chronos Pantheon — runs agent presets (minimal/standard/full), aggregates reports, validates cross-references between L1-L3 (contracts → product → engineering). Use when: "run full audit", "chronos full", "cross-reference validation", "canon".
schema-exploration
Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.
deepagents-thread-inspector
Inspect and explain conversations in the local Deep Agents Code SQLite session store. Use as a fallback when LangSmith trace tooling is unavailable, for offline or untraced sessions, or when asked to identify or summarize a local dcode thread, inspect checkpoint metadata, list recent local threads, or parse…
query-writing
Writes and executes SQL queries from simple SELECTs to complex multi-table JOINs, aggregations, and subqueries. Use when the user asks to query a database, write SQL, run a SELECT statement, retrieve data, filter records, or generate reports from database tables.
things-mac
Manage Things 3 via the things CLI on macOS (add/update projects+todos via URL scheme; read/search/list from the local Things database). Use when a user asks Otto to add a task to Things, list inbox/today/upcoming, search tasks, or inspect projects/areas/tags.