Borrowing it
Nothing to install: this file belongs to debugg-ai/debugg-ai-mcp. 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/debugg-ai/debugg-ai-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/debugg-ai/debugg-ai-mcpWrote 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/debugg-ai/debugg-ai-mcp/agents-md)<a href="https://agentmods.dev/instructions/debugg-ai/debugg-ai-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/debugg-ai/debugg-ai-mcp/agents-md.svg" alt="Measured on agentmods" 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 | $0.01813 | $0.01813 |
| Opus 5 | $0.00907 | $0.00907 |
| Sonnet 5 | $0.00363 | $0.00363 |
| Haiku 4.5 | $0.00181 | $0.00181 |
Grade B, and why
debugg-ai-mcp AGENTS.md scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reads MCP configurationmediumAgent snooping
mcp.json carries server URLs and auth tokens; reading it lets a mod discover and abuse other integrations.
- The MCP reads **`DEBUGGAI_API_KEY` from the environment** — `.mcp.json` references `${DEBUGGAI_API_KEY}` Copies of this mod
2 near-identical copies found in the catalogue:
- SkillCheck-Free AGENTS.md — 97% identical, 38 lines differ
- agentkernel AGENTS.md — 97% identical, 46 lines differ
How it starts
The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Instructions
This project uses bd (beads) for issue tracking. Run bd onboard to get started.
Quick Reference
bd ready # Find available work
bd show <id> # View issue details
bd update <id> --status in_progress # Claim work
bd close <id> # Complete work
bd sync # Sync with git
Testing & live verification
npm test # unit tests (jest, ESM + ts-jest; use `import { jest } from '@jest/globals'`)
npx tsc --noEmit # typecheck
npm run lint # eslint
npm run build # tsc -> dist/
Unit tests mock the backend. To verify a tool end-to-end against the real API:
- The MCP reads
DEBUGGAI_API_KEYfrom the environment —.mcp.jsonreferences${DEBUGGAI_API_KEY}(never a literal). Export it first:export DEBUGGAI_API_KEY=<key>. - No dev-mode → prod
api.debugg.ai.DEBUGGAI_DEV_MODE=true→ local backendhttp://localhost:8012(needs a local token; the prod key won't auth there). npm run test:integrationhits the real API, self-skips without a key, and writes data — be deliberate about which backend you target.- Fast read-only smoke of a fresh build (
npm run buildfirst) — replicate the CallTool path:
Use read-only actions (import { getTool } from './dist/tools/index.js'; import { validateInput } from './dist/utils/validation.js'; const t = getTool('project'); console.log(await t.handler(validateInput(t.inputSchema, { action: 'list' }, 'project'), { timestamp: new Date() }));list/get) onproject/environment/executions.
Tunnel mechanics for localhost URLs: check_app_in_browser/probe_page/trigger_crawl
auto-tunnel http(s)://localhost:* targets through one ngrok tunnel per session key (not per
port) dialed at a local Caddy reverse proxy that gets repointed per dispatch under a lock —
see docs/local-tunnel-multiplexer-architecture-2026-07-31.md and
services/ngrok/tunnelManager.ts/services/caddy/. The caddy binary auto-installs via the
@radically-straightforward/caddy npm dependency's postinstall (pinned version, same pattern as
the ngrok binary) — CADDY_BIN overrides it if that download never ran. Fails fast with
CaddyBinaryNotFoundError if neither is available. test_suite {action:"run"} is the exception:
dedicated per-call tunnel, bypasses Caddy, no caddy needed.
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.
- 6d ago First seen · 192 lines · 1,813 tokens per session scan B deb34430d9bc
debugg-ai-mcp AGENTS.md is an instructions file published in the GitHub repository debugg-ai/debugg-ai-mcp (68 stars, last pushed 17d ago), licensed Apache-2.0. It adds 1,813 tokens to every session, about $0.0091 per session on Opus 5. A static security scan graded it B with 1 finding (reads mcp configuration). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.