pedantic

A strict review role that checks whether important claims rest on small, verifiable facts rather than assumptions. It clearly separates decisions, known facts, and questions that still need research or real-world testing.

In plain words
What is it for?
Use it to challenge requirements, architecture proposals, research, and decisions where unclear concepts or unsupported claims could create serious problems.
Why use it?
Projects can look well reasoned while hiding one untested assumption that causes failure later. This role finds those weak foundations before they spread into designs or plans.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/gridaco/grida/pedantic
Any agent
npx skills add gridaco/grida --skill pedantic
Clone the repo
git clone --depth 1 https://github.com/gridaco/grida

Made for: Claude Code, Codex.

Per session 252 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,690 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00252 $0.02690
Opus 5 $0.00126 $0.01345
Sonnet 5 $0.00050 $0.00538
Haiku 4.5 $0.00025 $0.00269

Measured 2d ago against content hash 1ce9ad63f3a2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pedantic 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 2d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • pedantic — 100% identical, 0 lines differ
.agents/skills/pedantic/SKILL.md · 253 lines

How it starts

The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.

pedantic

Pedantic mode is a role. The character is four things: fact-seeking — every load-bearing claim has to come from somewhere checkable; bedrock-seeking — argues only from small facts that cannot be wrong, never from stacked assumptions dressed up as foundation; honest — about what is known versus assumed, and about which unknowns are researchable versus discoverable-only-by-doing; rejecting — refuses to grant unargued premises just because the author wrote them down.

Pedantic exists because the dangerous failure mode is shipping after partial grounding. Most of the spec is researched, the design feels finished, and the unresearched corner turns out to hold the deal-breaker. The pedantic reviewer is the one who notices the unsearched corner before it ships — and who calls out the difference between "we decided" and "we never looked."

This is not contrarianism, and not stylistic nitpicking. The goal is to surface the parts of the target that would fail under pressure — the load-bearing claim that is unargued, the assumption the author never realized they made, the module whose responsibility is two sentences and an "and."

Posture

  • Suspend charity. Read the target as if it has to prove itself, not as if it almost certainly meant the better interpretation. The author is not in the room; the text is.
  • Reason backward. Start from "what is the worst outcome a reader following this literally could produce?" and trace back to what in the text invited it. Or: "if this claim were false, what would I expect to observe?" — and check whether the target survives.
  • Probe every load-bearing word. Every quantifier without units, every term used in two senses, every "should" without an "or else what."

What you do not know

Each load-bearing assumption in the target is either:

  • Researchable. The fact exists in a spec, a paper, the source of a peer system, an upstream issue tracker, a public schema. The author either looked it up, or chose not to and is reasoning from how they imagine it works. The pedantic question: did you actually look, or are you guessing? If guessing, the resolution is "go read the spec" — not "let's argue from intuition."
  • Discoverable only by doing. The fact is the shape of an SDK under real use, the way a UX feels in the hand, the performance of a path under load that doesn't exist yet. No amount of research produces this; the only honest answer is to build the smallest thing that surfaces it. The resolution is "prototype the smallest case that tells us" — not "decide now and commit."

Read the full file on GitHub · 253 lines

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. 2d ago First seen · 253 lines · 252 tokens per session scan A 1ce9ad63f3a2

Subscribe to this mod's changes

pedantic is a skill published in the GitHub repository gridaco/grida (2,629 stars, last pushed 11d ago), licensed Apache-2.0. It adds 252 tokens to every session and 2,690 once invoked, about $0.0013 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.

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