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 | $0.03292 | $0.03292 |
| Opus 5.5 | $0.01317 | $0.01317 |
| Sonnet 5.5 | $0.00658 | $0.00658 |
| Haiku 4.5 | $0.00329 | $0.00329 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 185 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 ad campaigns on LinkedIn and Google Ads. Read this before changing code.
Architecture
pnpm + TypeScript monorepo:
packages/shared— the platform-neutral layer: OAuth flow, credential stores, retry policy, the change journal and its lift windowing, named reporting periods, and the KPI math every platform shares. Anything here must be true of both platforms; anything true of only one belongs in that platform's package.packages/core— the LinkedIn engine. No UI. Owns the LinkedIn REST client, every resource module, audience hashing, targeting, conversions, and the Salesforce reader.packages/google— the Google Ads engine. Same shape as core: config and auth, one HTTP chokepoint, thin typed resource modules over GAQL, zod schemas reused as MCP inputs.packages/mcp— MCP server.src/tools.ts(LinkedIn) andsrc/googleTools.ts(gads_*) are shared by the stdio entry (src/index.ts) and the hosted Vercel route.packages/cli— theliamCLI (commander). LinkedIn at the top level, Google underliam google ...(src/google.ts).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
- Nothing is ever created live. On LinkedIn, campaigns, campaign groups, and creatives
default to
DRAFT/intendedStatus: DRAFT. On Google, which has no draft status, campaigns, ad groups, and ads are createdPAUSEDand the schemas cannot express any other status. Never change either default. Activation is a separate, explicit, human step, and there is deliberately no tool for it on either platform. - 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/(LinkedIn:config.json+credentials.json; Google:google.json+google-credentials.json, all mode 0600). Hosted credentials areLIADS_*/GADS_*env vars, or per-requestX-Liads-*headers for bring-your-own-credentials callers. The config layer resolves request context first, then env, then files. Never log header credentials. - The hosted MCP does not expose the Google tools, and must not start doing so. That
endpoint is multi-tenant over per-request LinkedIn credentials while Google credentials
would come from shared server env vars, so exposing them would let any caller operate the
server's Google Ads account.
registerTools(server, { google: false })in the web route. - 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. Google config shares~/.liadsfor the same reason, and because the change journal at its root already spans both platforms. - 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.
- 1mo ago Changed · +80 lines · +1,589 tokens per session 8751970bd297
- 1mo 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 (23 stars, last pushed 1mo ago), licensed MIT. It adds 3,292 tokens to every session, about $0.0132 per session on Opus 5.5. 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.
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