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 agentmods add instructions/stephen-studying/tech-route-maker/agents-mdgit clone --depth 1 https://github.com/Stephen-studying/tech-route-makerWhat 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 | $0.00558 | $0.00558 |
| Opus 5 | $0.00279 | $0.00279 |
| Sonnet 5 | $0.00112 | $0.00112 |
| Haiku 4.5 | $0.00056 | $0.00056 |
Grade A, and why
tech-route-maker AGENTS.md 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.
How it starts
The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project Overview
tech-route-maker is a portable agent skill for creating evidence-grounded editable technical route diagrams for research and engineering projects.
Use SKILL.md as the source of truth. This file exists so generic coding agents can discover and operate the skill without Codex-specific assumptions.
Required Behavior
- Read
SKILL.mdbefore using the skill. - Read relevant files in
references/only when needed. - Establish
domain_contextbefore final rendering: discipline, subfield, project type, research object, method family, data/materials, constraints and evaluation metrics. - Read
references/domain-profiles.mdwhen the discipline is unclear or unfamiliar. - Always build or update
tech-route.jsonbefore rendering final diagram files. - Offer the closest preset, but confirm missing domain facts and final output/layout/style choices instead of guessing them.
- Run
trm ingestfor local source sets and preserve stable source IDs, paths, locators and SHA-256 hashes. - Record
selected_presetandmetadata.selected_output_formatsintech-route.json. - Report
QUALITY_REPORT.mdfindings after rendering. - Run strict validation before final rendering. Inferred nodes and unresolved questions are draft-only.
- Tell the user that generated editable files require factual and visual revision before formal use.
- Keep diagrams editable. Do not replace PPTX/SVG/Draw.io/Excalidraw outputs with screenshots.
- When the user asks for Draw.io copyable code, include
drawio-codeand explain how to pastetech-route.drawio-code.xmlinto diagrams.net / draw.io through Extras > Edit Diagram.
Common Commands
trm ingest source-files --output-dir evidence-pack
trm validate examples/academic-paper-demo/outputs/tech-route.json --strict
trm render examples/academic-paper-demo/outputs/tech-route.json examples/academic-paper-demo/outputs --formats pptx,svg,drawio,drawio-code,excalidraw,mermaid,html,markdown,json
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.
- 2d ago First seen · 48 lines · 558 tokens per session scan A 18314a0c911e
tech-route-maker AGENTS.md is an instructions file published in the GitHub repository Stephen-studying/tech-route-maker (2 stars, last pushed 28d ago), licensed MIT. It adds 558 tokens to every session, about $0.0028 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 2026-08-31.
Other instructions, from other repositories
PaperFit CLAUDE.md
Instructions for OpenRaiser/PaperFit, covering paperfit — visual typesetting optimization agent system, 角色与使命, vto 任务定义与缺陷分类体系, 核心工作原则(非协商) and 1. 视觉反馈闭环,不可省略.
economics-paper-reviewer CLAUDE.md
Instructions for viplee110/economics-paper-reviewer: This repository is a portable English-only economics paper pre-review skill.
racehooks-mcp AGENTS.md
AGENTS.md instructions for racehooks/racehooks-mcp, covering agents.md — racehooks mcp server, install (end user), what it exposes, security model and contributing to this repo.
economics-paper-reviewer AGENTS.md
Instructions for viplee110/economics-paper-reviewer: This repository defines an English-only portable pre-review skill for economics papers.
clinical-ai-agent-skills AGENTS.md
Instructions for 2023Anita/clinical-ai-agent-skills, covering clinical ai agent rules, 1. evidence before confidence, 2. research is not medical advice, 3. scope before action and 4. small verified steps.
clinical-ai-agent-skills CLAUDE.md
Instructions for 2023Anita/clinical-ai-agent-skills, covering clinical ai agent rules for claude code, core behavior, evidence before confidence, research is not medical advice and scope before action.