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/signnow/sn-mcp-server/sn-implementationnpx skills add signnow/sn-mcp-server --skill sn-implementationgit clone --depth 1 https://github.com/signnow/sn-mcp-serverWrote 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/signnow/sn-mcp-server/sn-implementation)<a href="https://agentmods.dev/skills/signnow/sn-mcp-server/sn-implementation"><img src="https://agentmods.dev/badge/skills/signnow/sn-mcp-server/sn-implementation.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 | $0.00077 | $0.02021 |
| Opus 5 | $0.00039 | $0.01010 |
| Sonnet 5 | $0.00015 | $0.00404 |
| Haiku 4.5 | $0.00008 | $0.00202 |
Grade A, and why
sn-implementation 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 4d 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 — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implementation Standards
Layer-Specific Rules
Before writing any code, identify the layer you're editing and apply its rules.
API Models (signnow_client/models/)
- ✅ Pydantic
BaseModel,Field, validators, type aliases,__all__exports. - ❌ Imports from
sn_mcp_server.*orsignnow_client/client*.py. Any business logic. - Pure data definitions only — mirror the SignNow REST API schema.
API Client (signnow_client/client_*.py)
- ✅ Use
self._get(),self._post(),self._put(),self._post_multipart()fromclient_base.py. Import models fromsignnow_client/models/. Use exceptions fromsignnow_client/exceptions.py. - ❌ Imports from
sn_mcp_server.*(upward import). Directhttpxcalls. Starlette imports. MCP logic. - Each method takes
token: strand passesAuthorization: Bearer {token}.
Tool Response Models (sn_mcp_server/tools/models.py)
- ✅ Pydantic
BaseModel,Field. Type references fromsignnow_client/models/. - ❌ Raw API passthrough. Fields the agent won't act on. Empty lists, null metadata, internal IDs.
- Every field must justify: "Does the agent need this for its next decision?"
Tool Business Logic (sn_mcp_server/tools/<feature>.py)
- ✅ Import
SignNowAPIClient,tools/models.py. Pure logic, data transformation. - ❌ Import Starlette. Import from other
tools/<feature>.py. Resolve tokens. Module-level mutable state. Generic errors. - Functions receive
(client: SignNowAPIClient, token: str, ...)→ return curated DTOs.
Tool Orchestrator (sn_mcp_server/tools/signnow.py)
- ✅ Call
_get_token_and_client(), delegate totools/<feature>.py, useAnnotated[..., Field(...)]for params. - ❌ Business logic. Complex conditionals. Data transformation.
- Each tool function: resolve token → call business logic → return result. Docstrings = MCP tool descriptions.
Auth (sn_mcp_server/auth.py, token_provider.py)
- ✅ Import
signnow_client, config. - ❌ Import from tools layer. Expose tokens/secrets in logs or errors.
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.
- 4d ago First seen · 223 lines · 77 tokens per session scan A acbb7ca3562b
sn-implementation is a skill published in the GitHub repository signnow/sn-mcp-server (8 stars, last pushed 1mo ago), licensed MIT. It adds 77 tokens to every session and 2,021 once invoked, about $0.0004 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 2026-08-31.
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