Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add speakeasy-api/gram --skill expose-tools-on-mcpgit clone --depth 1 https://github.com/speakeasy-api/gramWrote 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/skills/speakeasy-api/gram/expose-tools-on-mcp)<a href="https://agentmods.dev/skills/speakeasy-api/gram/expose-tools-on-mcp"><img src="https://agentmods.dev/badge/skills/speakeasy-api/gram/expose-tools-on-mcp/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/skills/speakeasy-api/gram/expose-tools-on-mcp"><img src="https://agentmods.dev/badge/skills/speakeasy-api/gram/expose-tools-on-mcp.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 | $0.00069 | $0.03478 |
| Opus 5.5 | $0.00028 | $0.01391 |
| Sonnet 5.5 | $0.00014 | $0.00696 |
| Haiku 4.5 | $0.00007 | $0.00348 |
Grade B, and why
expose-tools-on-mcp 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.
Subtle steeringmediumPrompt injection
Instructions that bias recommendations or shape behaviour without the user noticing.
**Creating a server.** This is for an addition only, and only from tools a function produced: every tool must come from `list_project_tools` with `source_kind` `function`. A tool generated from an API document cannot be The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 Changed 5fda22b1d57b
- 7d ago Changed 6d2004ab0dc4
- 10d ago Changed · +3 lines · +13 tokens per session scan A → B 697bb157b6d6
- 13d ago First seen · 41 lines · 56 tokens per session scan A e76e0c43cd51
expose-tools-on-mcp is a skill published in the GitHub repository speakeasy-api/gram (273 stars, last pushed today), licensed AGPL-3.0. It adds 69 tokens to every session and 3,478 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it B with 1 finding (subtle steering). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-03.
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