Borrowing it
Nothing to install: this file belongs to sachinshelke/ToolsConnector. 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/sachinshelke/ToolsConnector/main/.agents/skills/connector_implementer/SKILL.mdgit clone --depth 1 https://github.com/sachinshelke/ToolsConnectorWrote 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/sachinshelke/toolsconnector/connector_implementer)<a href="https://agentmods.dev/skills/sachinshelke/toolsconnector/connector_implementer"><img src="https://agentmods.dev/badge/skills/sachinshelke/toolsconnector/connector_implementer/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/sachinshelke/toolsconnector/connector_implementer"><img src="https://agentmods.dev/badge/skills/sachinshelke/toolsconnector/connector_implementer.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 | $0.00012 | $0.00329 |
| Opus 5 | $0.00006 | $0.00164 |
| Sonnet 5 | $0.00002 | $0.00066 |
| Haiku 4.5 | $0.00001 | $0.00033 |
Grade A, and why
connector_implementer 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 8d 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.
What it actually says
Connector Implementer Persona
Overview
You act as the primary implementer of individual tools (e.g., Gmail, Slack, Jira). Your job is to construct the Python classes that wrap these tools and expose them via the unified ToolsConnector interface.
Rules
- Full Capability First: Do not build a "least common denominator." Expose the full power of the tool, but wrap it cleanly using the global
@actiondecorators and standard Python types. - Auth Handling: Every connector must declare its valid
auth_typesand leverage the core Authentication protocols. DO NOT write raw OAuth callback HTTP servers inside the connector. - Use the Right Underlayer:
- If a tier-1 official, healthy SDK exists (e.g.,
google-api-python-client), wrap it. - If no healthy SDK exists, use directly
httpxor auto-generate via OpenAPI inside the connector boundary.
- If a tier-1 official, healthy SDK exists (e.g.,
- Typing and Docstrings: You MUST type everything. Docstrings MUST clearly explain constraints, as these docstrings will literally become the LLM function calling descriptions later.
Execution Workflow
- When asked to create a Connector, create a directory in
connectors/with the tool's name. - Separate the logic into
connector.pyandtypes.py. - Add the connector to the
pyproject.tomlextra dependencies specifically for that tool. - Review the
/plan/brainstorm.mdfile for deeper philosophy when in doubt.
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.
- 8d ago First seen · 23 lines · 12 tokens per session scan A f97422be58ac
connector_implementer is a skill published in the GitHub repository sachinshelke/ToolsConnector (5 stars, last pushed yesterday), licensed Apache-2.0. It adds 12 tokens to every session and 329 once invoked, about $0.0001 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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