doc-grounded-grilling

doc-grounded-grilling is a skill for Codex from markoblogo/abvx-agent-skills. It costs 83 tokens per session (558 once invoked), scanned A, original, MIT.

A structured question-and-review process for checking a proposed plan against a repository's documentation, terminology, architecture decisions, and context files. It asks one question at a time and verifies known answers in the code or docs first.

In plain words
What is it for?
Clarifying an ambiguous task, checking whether a design matches the repository, and deciding whether settled choices belong in a glossary, architecture decision record, specification note, or nowhere.
Why use it?
It exposes vague terms, hidden assumptions, and conflicts with existing design decisions before implementation begins. This helps the team agree on boundaries and important trade-offs.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions AGENTS.md.

Good fit Clarifying an ambiguous task, checking whether a design matches the repository, and deciding whether settled choices belong in a glossary, architecture decision record, specification note, or nowhere.

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Install with agentmods
npx agentmods add skills/markoblogo/abvx-agent-skills/doc-grounded-grilling
Install

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.

Any agent
npx skills add markoblogo/abvx-agent-skills --skill doc-grounded-grilling
Clone the repo
git clone --depth 1 https://github.com/markoblogo/abvx-agent-skills

Made for: Codex.

Wrote 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.

agentmods badge for doc-grounded-grilling

README.md
[![agentmods](https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/doc-grounded-grilling/github.svg)](https://agentmods.dev/skills/markoblogo/abvx-agent-skills/doc-grounded-grilling)
Your own site
<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/doc-grounded-grilling"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/doc-grounded-grilling/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.

agentmods 80×15 button for doc-grounded-grilling

Your own site · 80×15
<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/doc-grounded-grilling"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/doc-grounded-grilling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 558 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00083 $0.00558
Opus 5 $0.00042 $0.00279
Sonnet 5 $0.00017 $0.00112
Haiku 4.5 $0.00008 $0.00056

Measured 10d ago against content hash 8cd43ca8e84d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

doc-grounded-grilling 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 10d 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.

skills/doc-grounded-grilling/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Doc Grounded Grilling

Use structured questioning to align a plan with the repo's actual language, constraints, and existing decisions.

Workflow

  1. Read the nearest relevant context first:
    • AGENTS.md
    • docs/ai/*
    • ADRs
    • repo docs
    • designmd-brand-kit artifacts when frontend or brand work is involved
  2. Ask one question at a time.
  3. If the answer is already in the code or docs, verify there before asking.
  4. For each question:
    • identify the ambiguity;
    • give a recommended answer or framing;
    • wait for user feedback before continuing.
  5. Walk down the branches of the design tree until:
    • terms are precise;
    • boundaries are understood;
    • key trade-offs are named;
    • critical scenarios are covered.
  6. When a term or decision settles, classify the durable artifact:
    • glossary/context update for canonical domain language;
    • ADR candidate for hard-to-reverse or surprising trade-offs;
    • PRD/spec note for scope and acceptance criteria;
    • no artifact when the answer is temporary or already documented.

What To Challenge

  • terminology that conflicts with existing domain language;
  • assumptions contradicted by code or ADRs;
  • vague nouns like "account", "session", "client", "job", "draft", "campaign";
  • plans that skip the test seam, integration seam, or rollout seam;
  • frontend ideas that ignore the current design system or brand shape.

Output

The session should leave behind:

  • sharper language;
  • clarified decisions;
  • explicit open questions;
  • identified docs that should be updated through durable-context-maintenance when the decision settles;
  • proposed glossary/context or ADR updates when the task changed the repo's shared language or a consequential decision.

Guardrails

  • Do not interrogate for its own sake; stop when the plan is clear enough to execute.
  • Do not invent domain language when the repo already has one.
  • Do not batch ten questions at once.

Final Report

Summarize resolved terms, decisive trade-offs, remaining open questions, and which docs should be refreshed next.

Read the full file on GitHub · 66 lines

Files

What ships with it

2 files 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.

Changes

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.

  1. 10d ago First seen · 66 lines · 83 tokens per session scan A 8cd43ca8e84d

Subscribe to this mod's changes

doc-grounded-grilling is a skill published in the GitHub repository markoblogo/abvx-agent-skills (16 stars, last pushed yesterday), licensed MIT. It adds 83 tokens to every session and 558 once invoked, about $0.0004 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.