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.
npx skills add martinffx/atelier --skill oracle-grill-megit clone --depth 1 https://github.com/martinffx/atelierWrote 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/martinffx/atelier/oracle-grill-me)<a href="https://agentmods.dev/skills/martinffx/atelier/oracle-grill-me"><img src="https://agentmods.dev/badge/skills/martinffx/atelier/oracle-grill-me/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/martinffx/atelier/oracle-grill-me"><img src="https://agentmods.dev/badge/skills/martinffx/atelier/oracle-grill-me.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 | $0.00291 |
| Opus 5.5 | $0.00023 | $0.00116 |
| Sonnet 5.5 | $0.00012 | $0.00058 |
| Haiku 4.5 | $0.00006 | $0.00029 |
Grade A, and why
oracle-grill-me 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 15d 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.
What it actually says
Grill Me
Interview me relentlessly about every aspect of this until we reach a shared understanding. Walk down each branch of the decision tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer.
Ask the questions one at a time, waiting for feedback on each question before continuing. Asking multiple questions at once is bewildering.
If a fact can be found by exploring the environment (filesystem, tools, etc.), look it up rather than asking me. The decisions, though, are mine — put each one to me and wait for my answer.
Do not implement the proposed plan or decision until I confirm we have reached a shared understanding. Update domain documentation as terminology and decisions are resolved; when this session is nested in spec-brainstorm, return changed assumptions to that workflow for any required design update.
Run this session using the oracle-domain-modelling skill. When the decision is about a module's
interface, seams, or test level, also use the oracle-codebase-design skill.
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.
- 15d ago Changed · +1 lines e824370623fe
- 1mo ago First seen · 24 lines · 58 tokens per session scan A cdf67c9dd855
oracle-grill-me is a skill published in the GitHub repository martinffx/atelier (48 stars, last pushed 7d ago), licensed MIT. It adds 58 tokens to every session and 291 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
ralph
Self-referential loop until task completion with configurable verification reviewer.
self-improve
Autonomous evolutionary code improvement engine with tournament selection.
harbor
Harbor intake for external work — the captain only handles unresolved decisions. Sweeps incoming issues and PRs, verifies every claim before disposition, reuses every decision already made, and hands the maintainer a docket whose pending items each carry one question with options, recommendation, impact and evidence.…
ai-prompt-regression-testing
Use when comparing prompt changes against a fixed evaluation set: record actual model settings, required checks, missing results, judge limitations and case-level regression evidence.
autoresearch
Stateful single-mission improvement loop with strict evaluator contract, markdown decision logs, and max-runtime stop behavior.
pr
Draft a PR body from OMC's paper trail — the smallest visual that proves the change, evidence consumed from the verify protocol (never re-collected), reversibility from the ADR test on the diff, glossary language throughout.