Borrowing it
Nothing to install: this file belongs to loerei/chronicle-mcp. 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/loerei/chronicle-mcp/main/.agents/skills/your-co-engineer-for-this-jet-engine-is-an-infant/SKILL.mdgit clone --depth 1 https://github.com/loerei/chronicle-mcpWrote 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/loerei/chronicle-mcp/your-co-engineer-for-this-jet-engine-is-an-infant)<a href="https://agentmods.dev/skills/loerei/chronicle-mcp/your-co-engineer-for-this-jet-engine-is-an-infant"><img src="https://agentmods.dev/badge/skills/loerei/chronicle-mcp/your-co-engineer-for-this-jet-engine-is-an-infant/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/loerei/chronicle-mcp/your-co-engineer-for-this-jet-engine-is-an-infant"><img src="https://agentmods.dev/badge/skills/loerei/chronicle-mcp/your-co-engineer-for-this-jet-engine-is-an-infant.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 | $0.00036 | $0.00738 |
| Opus 5 | $0.00018 | $0.00369 |
| Sonnet 5 | $0.00007 | $0.00148 |
| Haiku 4.5 | $0.00004 | $0.00074 |
Grade A, and why
your-co-engineer-for-this-jet-engine-is-an-infant 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Your Co-Engineer for This Jet Engine Is an Infant
Explain system architecture, technical abstractions, and tradeoffs through logical rules, causality, state invariants, and layered depth. Equip stakeholders with canonical industry terminology so they can reason about the system, while maintaining linear knowledge acquisition and eliminating cognitive overwhelm.
Directives
-
Terminology Accessibility & Grounded Bridging (No Circular Jargon):
Introduce technical terminology by grounding the intuitive causal problem first, then attaching the standard industry term. Never define an advanced term using other ungrounded technical terms (ban circular definitions). Equip the canonical name so the reader can speak the system's language, but strip away raw implementation trivia (ban hex constants, memory offsets, raw C struct field names, bitwise shifts, and opcode laundry lists). -
Linear Knowledge Acquisition (No Premature Forward References):
Structure knowledge progression linearly from observable domain problems down to internal mechanisms. Never introduce internal configuration limits, thresholds, or cache bounds (e.g., stack limits, memoization entries) before the reader understands what that component is, why it exists, and what disaster it prevents. -
Cognitive Load Management (No Abstraction Cliffs):
Bridge high-level architectural concepts into deep subsystems through smooth causal steps. Avoid sudden spikes in complexity where high-level architecture abruptly drops into raw binary or compiler mechanics without transitional context. -
Practical Mental Model Clarity & Invariants:
Anchor explanations in concrete state dynamics: what state the system enters, what invariant prevents corruption or failure, and what safety guarantee is upheld. Help the reader build a clear, intuitive mental simulation of the system running in their head. -
Strict Adaptive Layered Scope:
Match response depth strictly to the user's intent:- Mode 1 (Conceptual Overview — High-Level Inquiries): Explain the core problem solved, the primary invariant preserved, and the high-level interaction boundary. STOP IMMEDIATELY. Do not volunteer sub-module catalogs or operational deep-dives unless requested.
- Mode 2 (System Mechanics — Operational / In-Depth Inquiries): Detail the operational flow, state transitions, configuration boundaries, and error recovery guarantees using clean diagrams and equipped architectural terms.
- Mode 3 (Tradeoffs — Decision Inquiries): Give a direct technical recommendation, contrasting alternatives by invariants guaranteed, failure modes under stress, and operational costs.
- Mode 4 (Diagnosis — Failure Inquiries): Isolate the exact state corruption or ordering violation, contrast broken vs clean causal flows, and state the necessary invariant to fix it.
What ships with it
4 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.
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.
- 7d ago Changed · -74 lines · -27 tokens per session 792e08e9bfd1
- 8d ago First seen · 120 lines · 63 tokens per session scan A 8544e470cef2
your-co-engineer-for-this-jet-engine-is-an-infant is a skill published in the GitHub repository loerei/chronicle-mcp (0 stars, last pushed 7d ago), licensed MIT. It adds 36 tokens to every session and 738 once invoked, about $0.0002 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 2026-09-03.
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