Borrowing it
Nothing to install: this file belongs to flin-agency/flin-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/flin-agency/flin-linkedin-ads-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/flin-agency/flin-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/flin-agency/flin-linkedin-ads-mcp/agents-md)<a href="https://agentmods.dev/instructions/flin-agency/flin-linkedin-ads-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/flin-agency/flin-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/flin-agency/flin-linkedin-ads-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/flin-agency/flin-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 | $0.00304 | $0.00304 |
| Opus 5.5 | $0.00122 | $0.00122 |
| Sonnet 5.5 | $0.00061 | $0.00061 |
| Haiku 4.5 | $0.00030 | $0.00030 |
Grade A, and why
flin-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 today.
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.
What it actually says
Release policy
- Every server release must be published to both PyPI and GitHub. This is an explicit user requirement: existing PyPI/uvx installations depend on PyPI releases for updates.
- Do not report a release as complete until the exact version and distribution hashes have been verified on PyPI and the GitHub installation assets are available.
- Use
.github/workflows/release.ymland itspypienvironment for Trusted Publishing. The workflow can recover an existing tag throughworkflow_dispatchwithrelease_tag. - A queued macOS runner must not block PyPI: the release builder runs on Linux, while macOS checks run separately in CI. Do not cancel publishing and deliver GitHub only.
- Preserve published tags and files. For code changes, create a new version; for a failed publication, recover the existing version without changing its source or artifacts.
- Distinguish PyPI updates from the update behavior of the desktop extension. Do not claim that a bundled, locked MCPB automatically updates its server through PyPI.
- From v0.3.2, the user explicitly requires automatic stable PyPI server updates when Claude Desktop restarts. Keep the launcher free of bundled server modules and a bundled lockfile; these would prevent or shadow updates. The supported update range is 0.x.
- Test the package before publishing with the built wheel, then again against public PyPI.
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.
- today First seen · 19 lines · 304 tokens per session scan A 53fa9e45b4fe
flin-linkedin-ads-mcp AGENTS.md is an instructions file published in the GitHub repository flin-agency/flin-linkedin-ads-mcp (0 stars, last pushed yesterday), licensed MIT. It adds 304 tokens to every session, about $0.0012 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 2026-11-07.
flin-linkedin-ads-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| flin-linkedin-ads-mcp AGENTS.mdflin-agency/flin-linkedin-ads-mcp | Instructions file | 0 | yesterday | MIT | A | 304 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |