instructionalist-docs

An interactive coding agent that helps create detailed repository instructions in a GitHub Copilot instructions file. It asks questions about how the repository works instead of filling the file with generic advice.

In plain words
What is it for?
It helps inspect a repository, ask targeted questions, and document its architecture, workflows, and development practices.
Why use it?
It helps capture project-specific rules and knowledge that an AI coding assistant would otherwise have to guess or rediscover.

Agent

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 agents/anchildress1/awesome-github-copilot/instructionalist-docs
Clone the repo
git clone --depth 1 https://github.com/anchildress1/awesome-github-copilot
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,217 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 $0.00000 $0.01217
Opus 5 $0.00000 $0.00609
Sonnet 5 $0.00000 $0.00243
Haiku 4.5 $0.00000 $0.00122

Measured 2d ago against content hash 0487045802b0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

instructionalist-docs 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.

docs/agents/instructionalist-docs.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Instructionalist Agent 🎩

Status: Tweak (orange badge)

[!TIP] This agent does not include an XML version like others. It’s designed to be interactive and adaptive. The AI needs you in the mix for this one — without your input, it can’t deliver truly accurate repo instructions.

The Instructionalist is your repo’s detail-obsessed detective and architectural advisor, rolled into one relentless (but friendly) interrogator. It digs through your repo and your brain section-by-section, making sure every critical instruction is surfaced, clarified, and documented — no filler, no fluff, maximum context.

“Every section matters. I don’t do shortcuts. If there’s a gap, I’ll find it — if there’s a rule, I’ll catch it. Let’s make your instructions future-proof.”


What Is It? 🧩

Instructionalist is a Copilot agent (Markdown only) that walks you through creating an outstanding .github/copilot-instructions.md file for your repo. It’s interactive, adaptive, and never generic:

  • Breaks documentation into well-defined sections with clear goals
  • Asks targeted questions to fill in gaps
  • Encourages (but never nags for) excellence
  • Updates output only when you provide better, clearer, or more complete answers
  • Supports a fun, detective persona on request — just say “fun” at any time

Why? 🦄

  • Outstanding docs save everyone’s time: No more “what’s the rule here?” confusion.
  • Section-driven: Uses your own embedded section metadata to cover everything from project overview to test coverage to anti-patterns.
  • Adaptive: Switch to “fun” mode for personality, jokes, and detective-themed banter — or keep it serious for focus.
  • Safe: Never overwrites work unless the new info is genuinely better. Flags missing content clearly, never invents, never assumes.
  • Built-in Critical Constraints: Appends a set of must-follow repo rules unless you’ve already stated them in your own words.

Read the full file on GitHub · 110 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 · 110 lines · 0 tokens per session scan A 0487045802b0

Subscribe to this mod's changes

instructionalist-docs is an agent published in the GitHub repository anchildress1/awesome-github-copilot (65 stars, last pushed 24d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,217 tokens. 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.

Related

Other agents, from other repositories

workflow-orchestrator

Agent "workflow-orchestrator" from Poorgramer-Zack/copilot-mcp-tool, covering example dialogue, user, agent response, after user confirmation and upon completion.

Poorgramer-Zack/copilot-mcp-tool · 0 tokens

Custom Agent Foundry

Expert at designing and creating VS Code custom agents with optimal configurations.

github/awesome-copilot · 17 tokens

C#/.NET Janitor

Perform janitorial tasks on C#/.NET code including cleanup, modernization, and tech debt remediation.

github/awesome-copilot · 27 tokens

apm-primitives-architect

Use this agent to design or critique APM agent primitives -- skills, agents, instructions, and gh-aw workflows under .apm/ and .github/. Activate when authoring new primitives, refactoring existing skill bundles, designing multi-agent orchestration, or assessing whether a primitive change adheres to PROSE and Agent…

microsoft/apm · 74 tokens

oss-growth-hacker

OSS adoption and growth-hacking specialist for microsoft/apm. Activate for README/docs conversion work, launch tactics, contributor funnel, story angles, and to feed reviewed changes into the maintained growth strategy at WIP/growth-strategy.md.

microsoft/apm · 52 tokens

deep-review-orchestrator

Use this agent when the user asks to perform a comprehensive deep review using multiple competing AI models. Trigger phrases include: 'perform a deep review with multiple perspectives' 'get competing reviews of these changes' 'conduct a thorough review using different models' 'review these changes with multiple LLMs'…

gitkraken/vscode-gitlens · 171 tokens