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cognee: Command for GitHub Copilot

.github/prompts/docs_issue_edit.md

docs_issue_edit is a command for GitHub Copilot from topoteretes/cognee. It costs 0 tokens per session (154 once invoked), scanned A, original, Apache-2.0.

A command workflow for updating Cognee's Mintlify documentation to match a GitHub issue. It limits edits to specified existing documentation files and adds or corrects only a short fact.

In plain words
What is it for?
Use it to make a small, issue-driven correction in the Cognee documentation repository without creating a new guide or committing changes.
Why use it?
It prevents unrelated source, configuration, or documentation changes when handling a documentation issue. It also stops without editing if the listed page is not the right one.

Command for GitHub Copilot

Written for GitHub Copilot: a Copilot chat mode or prompt.

This is topoteretes/cognee's own configuration. It tells GitHub Copilot how to work on cognee itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything cognee configures →

not rated 33krepo +157 today A scan 0 tokens original Apache-2.0
View source ↗ topoteretes/cognee cognee.ai
About the project

Cognee is an AI memory platform that stores information in a self-hosted knowledge graph so agents can retain context across sessions. It ingests data, connects related information, and helps agents retrieve it for reasoning and actions. The catalogue includes skills and instructions that extend agent workflows around Cognee.

topoteretes/cognee · 33,094 stars · on GitHub · cognee.ai

Reuse

Borrowing it

Nothing to install: this file belongs to topoteretes/cognee. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/topoteretes/cognee/main/.github/prompts/docs_issue_edit.md
Clone the repo
git clone --depth 1 https://github.com/topoteretes/cognee

Made for: GitHub Copilot.

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 docs_issue_edit

README.md
[![agentmods](https://agentmods.dev/badge/commands/topoteretes/cognee/docs_issue_edit/github.svg)](https://agentmods.dev/commands/topoteretes/cognee/docs_issue_edit)
Your own site
<a href="https://agentmods.dev/commands/topoteretes/cognee/docs_issue_edit"><img src="https://agentmods.dev/badge/commands/topoteretes/cognee/docs_issue_edit/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.

agentmods 80×15 button for docs_issue_edit

Your own site · 80×15
<a href="https://agentmods.dev/commands/topoteretes/cognee/docs_issue_edit"><img src="https://agentmods.dev/badge/commands/topoteretes/cognee/docs_issue_edit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
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 154 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00000 $0.00154
Opus 5.5 $0.00000 $0.00062
Sonnet 5.5 $0.00000 $0.00031
Haiku 4.5 $0.00000 $0.00015

Measured 1mo ago against content hash db165656cec7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

docs_issue_edit 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 1mo 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.

.github/prompts/docs_issue_edit.md · 16 lines

What it actually says

You edit Cognee Mintlify docs to match a GitHub issue.

Resources:

  • Documentation repo: ./docs-repo
  • Cognee source: repository root (not ./docs-repo)
  • Issue excerpt: ./issue_excerpt.md (read this first)

Rules:

  1. Read only the source files listed in the workflow prompt.
  2. Edit only the docs files listed, paths relative to ./docs-repo. At most 3 files.
  3. Do not create new pages. Do not edit docs.json. Do not edit cognee source.
  4. Do not write a new guide. Add or correct a short fact (one paragraph or bullet).
  5. Do not commit.

If the listed docs file is the wrong page, stop and make no edits.

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. 1mo ago First seen · 16 lines · 0 tokens per session scan A db165656cec7

Subscribe to this mod's changes

docs_issue_edit is a command published in the GitHub repository topoteretes/cognee (33,094 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 154 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 2026-09-25.

Writing and docsaiai-agentsai-memorycognitive-architecturegraph-databasevector-database
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