Borrowing it
Nothing to install: this file belongs to stan-rym/liam-linkedin-ads-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/stan-rym/liam-linkedin-ads-MCP/main/AGENTS.mdgit clone --depth 1 https://github.com/stan-rym/liam-linkedin-ads-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/stan-rym/liam-linkedin-ads-mcp/agents-md)<a href="https://agentmods.dev/instructions/stan-rym/liam-linkedin-ads-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/stan-rym/liam-linkedin-ads-mcp/agents-md/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/stan-rym/liam-linkedin-ads-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/stan-rym/liam-linkedin-ads-mcp/agents-md.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 | $0.01703 | $0.01703 |
| Opus 5 | $0.00851 | $0.00851 |
| Sonnet 5 | $0.00341 | $0.00341 |
| Haiku 4.5 | $0.00170 | $0.00170 |
Grade A, and why
liam-linkedin-ads-MCP AGENTS.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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guidance for AI agents and contributors working in this repo. Liam is an MCP server and CLI that creates LinkedIn ad campaigns. Read this before changing code.
Architecture
pnpm + TypeScript monorepo:
packages/core— the engine. No UI. Owns the LinkedIn REST client, OAuth, every resource module, audience hashing, targeting, conversions, and the Salesforce reader.packages/mcp— MCP server.src/tools.tsregisters all tools and is shared by the stdio entry (src/index.ts) and the hosted Vercel route. Add tools intools.ts.packages/cli— theliamCLI (commander) over the same core.apps/web— Next.js app hosting the MCP over HTTP at/api/mcp(Vercel). Two tenants: the env-credential tenant gated by aMCP_AUTH_TOKENbearer, and bring-your-own credentials callers who sendX-Liads-*headers (client id/secret + refresh token, optional account id/version) that the route activates per request viawithRequestCredentials(core/config.ts, AsyncLocalStorage).
Data flow: every tool/command builds a client via createLiads() (core/client.ts), which
loads config + an auto-refreshing token provider, then calls a resource module. Resource
modules are thin typed wrappers over LinkedInClient.request().
Conventions
- Everything is created DRAFT. Campaigns, campaign groups, and creatives default to
DRAFT/intendedStatus: DRAFT. Never change that default. Activation is a separate, explicit step. - zod schemas are the source of truth. All tool/command inputs live as zod schemas in
core/src/schemas.tsand are reused as MCP tool input schemas (Schema.shape). Add or change a field there first, then thread it through the resource module. - Secrets never enter the repo. Local credentials live in
~/.liads/(config.json+credentials.json, mode 0600). Hosted credentials areLIADS_*env vars on Vercel, or per-requestX-Liads-*headers for bring-your-own-credentials callers. The config layer (core/config.ts) resolves request context first, then env, then files. Never log header credentials. - Internal names are frozen. The package scope
@liads/*, the~/.liadsdir, and theLIADS_*env prefix are intentionally NOT renamed to "liam" (renaming breaks stored creds and the deployed Vercel env). The brand "Liam" is visible-surface only. - Match the surrounding code style. Keep comments at the existing density. No em dashes in user-facing strings.
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.
- 9d ago First seen · 105 lines · 1,703 tokens per session scan A 9db3185df9ed
liam-linkedin-ads-MCP AGENTS.md is an instructions file published in the GitHub repository stan-rym/liam-linkedin-ads-MCP (22 stars, last pushed 1mo ago), licensed MIT. It adds 1,703 tokens to every session, about $0.0085 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 2026-08-30.
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.