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/grill-with-context/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/grill-with-context)<a href="https://agentmods.dev/skills/vpeetla-ai/react-agent-pattern/grill-with-context"><img src="https://agentmods.dev/badge/skills/vpeetla-ai/react-agent-pattern/grill-with-context/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/grill-with-context"><img src="https://agentmods.dev/badge/skills/vpeetla-ai/react-agent-pattern/grill-with-context.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 | $0.00045 | $0.00346 |
| Opus 5.5 | $0.00018 | $0.00138 |
| Sonnet 5.5 | $0.00009 | $0.00069 |
| Haiku 4.5 | $0.00005 | $0.00035 |
Grade A, and why
grill-with-context 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 grill-with-context — 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
Grill With Context
Inspired by mattpocock/skills grill-with-docs — org-specific version.
When to use
- New feature spanning multiple stack layers
- Unclear which repo should own the change
- User says "build X" without success criteria
Process
- Restate the goal in one sentence; ask if correct
- Grill — ask one question at a time until resolved:
- Which stack layer? (see governed-ai-stack)
- What defines done? (test, demo URL, metric)
- Side effects? (gateway/HITL required?)
- Stub mode or live API keys?
- Sharpen vocabulary — if the user uses vague terms, propose CONTEXT.md entries
- ADR candidates — flag decisions that need an ADR in ai-architecture-portfolio
- Output — short plan with repo, files, test strategy, out-of-scope list
Rules
- Do not start coding until grilling is complete
- Do not ask five questions in one message
- Prefer multiple-choice when options are finite
After grilling
Suggest tdd-agent-loops for implementation or to-prd equivalent: write plan to docs/plans/<slug>.md
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 · 41 lines · 45 tokens per session scan A f58c899fabbe
grill-with-context is a skill published in the GitHub repository vpeetla-ai/react-agent-pattern (2 stars, last pushed 2mo ago), licensed MIT. It adds 45 tokens to every session and 346 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 grill-with-context, differing in 0 lines, and is treated as a copy.
grill-with-context compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| grill-with-contextvpeetla-ai/react-agent-pattern | Skill | 2 | 2mo ago | MIT | A | 45 | Claude Code, Cursor |
| data-visualizationlangchain-ai/deepagents | Skill | 31k | yesterday | MIT | A | 40 | Claude Code, Codex |
| cuml-machine-learninglangchain-ai/deepagents | Skill | 31k | yesterday | MIT | A | 43 | Claude Code, Codex |
| blog-postlangchain-ai/deepagents | Skill | 31k | yesterday | MIT | A | 58 | Claude Code, Codex |
| social-medialangchain-ai/deepagents | Skill | 31k | yesterday | MIT | A | 58 | Claude Code, Codex |
| rememberlangchain-ai/deepagents | Skill | 31k | yesterday | MIT | A | 71 | Claude Code, Codex |
| cudf-analyticslangchain-ai/deepagents | Skill | 31k | yesterday | MIT | A | 51 | Claude Code, Codex |