Borrowing it
Nothing to install: this file belongs to legate-dev/telegram-ai-bridge. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/legate-dev/telegram-ai-bridge/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/legate-dev/telegram-ai-bridgeWrote 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.
[](https://agentmods.dev/instructions/legate-dev/telegram-ai-bridge/copilot-instructions)<a href="https://agentmods.dev/instructions/legate-dev/telegram-ai-bridge/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/legate-dev/telegram-ai-bridge/copilot-instructions/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.
<a href="https://agentmods.dev/instructions/legate-dev/telegram-ai-bridge/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/legate-dev/telegram-ai-bridge/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00921 | $0.00921 |
| Opus 5.5 | $0.00368 | $0.00368 |
| Sonnet 5.5 | $0.00184 | $0.00184 |
| Haiku 4.5 | $0.00092 | $0.00092 |
Grade A, and why
telegram-ai-bridge copilot-instructions.md scanned grade A with 1 finding 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
- **Dependencies:** prefer stdlib (`node:fs`, `node:path`, `node:child_process`) or deps already in `package.json`. Do not add new dependencies without explicit justification. When updating or adding versions, follow the How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copilot Coding Agent — Repository Instructions
Project context
This is a Telegram bridge that wraps multiple AI CLI backends (Claude Code, Codex, Kilo, Gemini, Copilot) behind a single bot interface. Node.js, ESM, Grammy (Telegram framework), better-sqlite3 for local state.
Code style
- ESM imports, no CommonJS
- No TypeScript — plain JS with JSDoc where helpful
node:test+node:assert/strictfor tests, no external test frameworks- Prefer
node:prefix for built-in modules - Trailing newline on all files
- No semicolons except where ASI is ambiguous
Architecture rules
- Each CLI backend is a class in
src/backends.jswith asendMessage()method - Chat bindings (which session is bound to which Telegram chat) live in SQLite via
src/db.js - Commands are registered in
src/commands.js, callback queries handled insrc/message-handler.js - Config comes from env vars via
src/config.js— never hardcode paths, ports, tokens, or thresholds - Session scanning (discovering CLI sessions on disk) lives in
src/cli-scanner.js
No hardcoding
This is non-negotiable:
- Never hardcode values that could change: URLs, ports, paths, feature flags, thresholds
- Environment variables for anything deployment-specific — define defaults in
src/config.js, document in.env.example - Credentials and secrets: never in source, never in commits, never in logs
Security awareness
AI-generated code has a 40-45% vulnerability rate in studies. Actively counter this:
- SQL: parameterize all queries. This project uses better-sqlite3 with named parameters (
@param). Never interpolate user input into SQL strings. - Input handling: all Telegram message text and callback data is untrusted user input. Validate and sanitize before using in file paths, shell args, or SQL.
- Shell execution: this project uses
execFile(notexec) for CLI spawning. Never construct shell command strings from user input. Pass arguments as array elements. - Secrets in logs: the
logmodule is used throughout. Never log tokens, API keys, session secrets, or user messages in full. UseredactString()fromsrc/log.jsfor sensitive values. - Dependencies: prefer stdlib (
node:fs,node:path,node:child_process) or deps already inpackage.json. Do not add new dependencies without explicit justification. When updating or adding versions, follow the existingpackage.jsonversioning convention rather than switching to exact pins. - Path traversal: when resolving directories from user input (e.g.,
/newcommand workspace path), always canonicalize and validate against allowed paths before use.
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.
- 1mo ago First seen · 66 lines · 921 tokens per session scan A c67c76dba7f1
telegram-ai-bridge copilot-instructions.md is an instructions file published in the GitHub repository legate-dev/telegram-ai-bridge (1 stars, last pushed 3mo ago), licensed MIT. It adds 921 tokens to every session, about $0.0037 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
ai-agent-rules-generator doc-sync.instructions.md
Documentation sync rules — which docs to update when code changes.
ai-agent-rules-generator ui-design.instructions.md
Glitch Payment Gateway admin UI design rules — mandatory element & component reference for WooCommerce settings.
ai-agent-rules-generator ratelimitting.instructions.md
Instructions for savedpixel/ai-agent-rules-generator, covering rate limit prevention (critical), rules, output length limits and visibility.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).