get-things-done: Instructions file for GitHub Copilot

.github/instructions/code-review-graph.instructions.md

get-things-done code-review-graph.instructions.md is an instructions file for GitHub Copilot from imMamdouhaboammar/get-things-done. It costs 517 tokens per session, scanned A, original, MIT.

A set of instructions for using the code-review-graph knowledge graph during code exploration and review. It directs the agent to narrow the search with graph queries, then inspect the source and relevant tests.

In plain words
What is it for?
Use it to find callers and callees, estimate the impact of a change, review modified code, inspect architecture, and locate related tests.
Why use it?
It avoids manually tracing every import or reading whole files when only part of a codebase matters. It also makes clear that source code takes priority when the graph is stale or incomplete.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is imMamdouhaboammar/get-things-done's own configuration. It tells GitHub Copilot how to work on get-things-done 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 get-things-done configures →

Reuse

Borrowing it

Nothing to install: this file belongs to imMamdouhaboammar/get-things-done. 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/imMamdouhaboammar/get-things-done/main/.github/instructions/code-review-graph.instructions.md
Clone the repo
git clone --depth 1 https://github.com/imMamdouhaboammar/get-things-done

Made for: GitHub Copilot.

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README.md
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Per session 517 This file is loaded in full into every session.
When invoked 517 The same file — it is already loaded in full.
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 $0.00517 $0.00517
Opus 5 $0.00259 $0.00259
Sonnet 5 $0.00103 $0.00103
Haiku 4.5 $0.00052 $0.00052

Measured yesterday against content hash fdd9ac46ae5a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

get-things-done code-review-graph.instructions.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 yesterday.

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/instructions/code-review-graph.instructions.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MCP Tools: code-review-graph

This project has a knowledge graph. Start with the code-review-graph MCP tools to narrow scope, then read the source. The graph is cheaper than scanning files and gives you structural context (callers, dependents, test coverage) that file search cannot.

When to use graph tools FIRST

  • Exploring code: semantic_search_nodes_tool or query_graph_tool
  • Understanding impact: get_impact_radius_tool
  • Code review: detect_changes_tool + get_review_context_tool
  • Finding relationships: query_graph_tool callers_of/callees_of
  • Architecture questions: get_architecture_overview_tool

Verify in the source

  • Narrow scope with the graph, then read the source. Do not change code from graph output alone.
  • For any non-trivial change, read the implementation and the relevant tests before concluding.
  • Verify the exact source when touching behavior, database logic, migrations, retries, fallbacks, recovery, or compatibility code.
  • When the graph and the source disagree, the source wins. The graph may be stale or may not model that relationship.
  • An empty graph result can mean "not indexed" or "not statically visible", not "does not exist".

Key Tools

Tool Use when
detect_changes_tool Risk-scored change analysis
get_review_context_tool Token-efficient source snippets
get_impact_radius_tool Blast radius of a change
get_affected_flows_tool Impacted execution paths
query_graph_tool Trace callers, callees, imports, tests
semantic_search_nodes_tool Find functions/classes by keyword
get_architecture_overview_tool High-level structure
refactor_tool Rename planning, dead code

Workflow

  1. The graph auto-updates on file changes (via hooks).
  2. Use detect_changes_tool for code review.
  3. Use get_affected_flows_tool to understand impact.
  4. Use query_graph_tool pattern="tests_for" to check coverage.

Read the full file on GitHub · 53 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. yesterday First seen · 53 lines · 517 tokens per session scan A fdd9ac46ae5a

Subscribe to this mod's changes

get-things-done code-review-graph.instructions.md is an instructions file published in the GitHub repository imMamdouhaboammar/get-things-done (2 stars, last pushed 5d ago), licensed MIT. It adds 517 tokens to every session, about $0.0026 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 2026-09-05.

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