rolecraft AGENTS.md

rolecraft AGENTS.md is an instructions file for Codex, OpenCode from Sri-Ln/rolecraft. It costs 1,256 tokens per session, scanned A, original, MIT.

Agent instructions for rolecraft, a study companion that turns a job description into a focused learning plan, project ideas, and similar roles.

In plain words
What is it for?
Loading a candidate profile, identifying what to learn, ordering technologies to study, suggesting business-aware projects, and finding similar roles.
Why use it?
They set the required user-profile files, tone, and output rules so the advice reflects the person’s goals and avoids generic job-search material.

Instructions file for CodexOpenCode

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 instructions/sri-ln/rolecraft/agents-md
Clone the repo
git clone --depth 1 https://github.com/Sri-Ln/rolecraft

Made for: Codex, OpenCode.

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 rolecraft AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/sri-ln/rolecraft/agents-md.svg)](https://agentmods.dev/instructions/sri-ln/rolecraft/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/sri-ln/rolecraft/agents-md"><img src="https://agentmods.dev/badge/instructions/sri-ln/rolecraft/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,256 This file is loaded in full into every session.
When invoked 1,256 The same file — it is already loaded in full.
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 $0.01256 $0.01256
Opus 5 $0.00628 $0.00628
Sonnet 5 $0.00251 $0.00251
Haiku 4.5 $0.00126 $0.00126

Measured 3d ago against content hash 407dbc7ba8a2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rolecraft 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 3d 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.

AGENTS.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

rolecraft — AI Agent Instructions

What rolecraft is

A JD-driven study companion. Paste a job description; rolecraft returns what to learn, what to build, and where else this kind of role exists. Designed for engineers who treat a job search as a study plan.

Outputs are learning artifacts — ranked concept lists, tech-stack study orders, niche project ideas, similar-role companies, a dashboard summarizing all of it. Not application volume. Not scores. Not PDFs to spam recruiters.

Voice and tone

Calm, study-coach-flavored. Brief, focused, declarative. Avoid hustle-mode phrasing ("AI-powered", "10x your job search", "automated outreach"). Project suggestions must be niche and business-aware — never generic CRUD demos. Every suggested project must explain the business problem it models alongside the tech.

Sources of truth

Every mode loads these (when they exist):

File Path When loaded
profile.yml user/profile/profile.yml ALWAYS — identity, target roles, industries, comp, location
_profile.md user/profile/_profile.md ALWAYS — archetypes, adaptive framing, deal-breakers, energy/drain mapping
cv.md user/profile/cv.md ALWAYS — canonical CV
article-digest.md user/profile/article-digest.md ALWAYS if exists — proof points, STAR stories
writing-samples/ user/profile/writing-samples/ When generating candidate-facing text
Mode-specific files user/data/{file}.md When the mode reads/writes that file

Never hardcode metrics or domain facts. Read them from the source-of-truth files at runtime.

Data contract (CRITICAL)

Two layers. Full breakdown in docs/DATA_CONTRACT.md.

User Layer (NEVER auto-updated; personalization goes HERE):

  • user/profile/* — identity, CV, framing, narrative, archetypes, deal-breakers
  • user/data/* — generated trackers, dashboard, reports
  • user/profile/writing-samples/ — optional tone samples; modes load only when generating candidate-facing text

Read the full file on GitHub · 95 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. 3d ago First seen · 95 lines · 1,256 tokens per session scan A 407dbc7ba8a2

Subscribe to this mod's changes

rolecraft AGENTS.md is an instructions file published in the GitHub repository Sri-Ln/rolecraft (4 stars, last pushed 25d ago), licensed MIT. It adds 1,256 tokens to every session, about $0.0063 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.

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