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 agentmods add skills/skillberry-ai/cap-evolve/mcp-toolnpx skills add skillberry-ai/cap-evolve --skill mcp-toolgit clone --depth 1 https://github.com/skillberry-ai/cap-evolveWrote 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/skillberry-ai/cap-evolve/mcp-tool)<a href="https://agentmods.dev/skills/skillberry-ai/cap-evolve/mcp-tool"><img src="https://agentmods.dev/badge/skills/skillberry-ai/cap-evolve/mcp-tool.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 | $0.00000 | $0.02081 |
| Opus 5 | $0.00000 | $0.01040 |
| Sonnet 5 | $0.00000 | $0.00416 |
| Haiku 4.5 | $0.00000 | $0.00208 |
Grade A, and why
mcp-tool 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 5d 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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Capability: MCP tool (external server)
Tools served over the Model Context Protocol
come from a server the agent does not own. The server defines each tool's
name, description, and inputSchema and implements the handler; the
host/client discovers them via tools/list, chooses which to present to the
model, and invokes them via tools/call. So an optimizer here can change how
the agent perceives and is offered those tools, and nothing else.
If the fix needs a tool's types, required fields, or behavior to change, this
capability has been outgrown: negotiate the change with the server owner, or move
the logic into an agent-owned tool and optimize that with the tools capability
instead.
The edit boundary — read this before proposing anything
| Edit | Owner | Allowed here |
|---|---|---|
tool description, per-parameter description, in-description examples |
client presentation | yes |
which of the server's tools the model sees (add / remove) |
client/host curation | yes |
the wire inputSchema — type, required, enum, maximum, properties (schema) |
server | no |
the handler implementation (code) |
server | no |
a new tool that runs server-side logic (compose) |
server | no |
The reason is not politeness: a candidate carrying a schema or handler edit is
invalid against the real server. It cannot be deployed, it will fail at
tools/call, and the run still pays full rollout cost to score it. The safe
levers below are the whole edit space.
The policy checks the edit's LABEL, not its effect — so stay inside the
boundary deliberately. apply() refuses any edit whose kind is outside the
policy and reports the refusal, so a {"kind": "schema"} or {"kind": "code"}
edit comes back as a visible refusal rather than a silent no-op. But two allowed
kinds can carry a forbidden change through:
- a
paramsvalue is shallow-merged intoparameters, so a value containingproperties,type,required, orenumrewrites the wire schema and is not refused. Writeparamsvalues that touch onlyproperties.<field>.description. - an
addvalue is appended verbatim, so acodekey on it lands unrefused.addmeans expose a tool the server already serves; never invent one.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 164 lines · 0 tokens per session scan A a0a585576029
mcp-tool is a skill published in the GitHub repository skillberry-ai/cap-evolve (50 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,081 tokens. 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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