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 withoneai/one-agent-plugin --skill dubgit clone --depth 1 https://github.com/withoneai/one-agent-pluginWrote 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/withoneai/one-agent-plugin/dub)<a href="https://agentmods.dev/skills/withoneai/one-agent-plugin/dub"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/dub/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/withoneai/one-agent-plugin/dub"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/dub.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 | $0.00098 | $0.03534 |
| Opus 5 | $0.00049 | $0.01767 |
| Sonnet 5 | $0.00020 | $0.00707 |
| Haiku 4.5 | $0.00010 | $0.00353 |
Grade A, and why
dub 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 7d 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.
This is a copy
81% identical to 2-chat — 248 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dub through One
Dub is a link management and attribution platform that enables teams to create branded short links, track conversions from click to revenue, and manage affiliate programs with real-time analytics and APIs for scalable marketing workflows.
One exposes Dub through four MCP tools. The table below carries real action ids from One's knowledge base, so for a common operation you can skip search and go straight to reading the action's parameters.
How to run an action
- Find the action in the table below, or call
search_one_platform_actionswith platformdubif it is not listed. - Call
get_one_action_knowledgewith the action id. Do this every time, including for actions in this table. The table gives you the id, not the parameters. - Call
execute_one_actionwith parameters copied from that knowledge.
Never guess a parameter name, a body field, or an enum value. The knowledge has the real schema, and a guessed field is either a 400 or a silent write of the wrong thing.
Before you start
Call list_one_integrations once and confirm Dub is connected. If it is missing, the user has not connected it: say so and point them at https://app.withone.ai rather than reaching for raw HTTP.
Each connection carries an access field. If it reports {"policy": "methods", "methods": ["GET"]} the agent is read-only here, so plan a read-only answer instead of attempting a write that will be refused.
Before a write
Creates, updates, deletes and sends land on a real Dub account and cannot be recalled. State the action and the specific target in one line before the first write in a task, and let the user stop you. Reads need no confirmation.
Actions
Links
| Action | Method | Path | Action id |
|---|---|---|---|
| List Links | GET | /links |
conn_mod_def::GKxTTNwIv2A::H2BbZqZbSqyuWO0cpif63g |
| Retrieve a Link | GET | /links/info |
conn_mod_def::GKxTTJKHl_g::jVqd8rGKSiO5bne5y8At7g |
| Retrieve Links Count | GET | /links/count |
conn_mod_def::GKxTTbCwEDg::sE6I6z4_TCqZdRjH81CNsQ |
| Bulk Create Links | POST | /links/bulk |
conn_mod_def::GKxTS7CZLyg::HK3MnYFgRQmmgDFyIr7xoA |
| Bulk Delete Links | DELETE | /links/bulk |
conn_mod_def::GKxTS9SMN7g::99T4up_ZQcG63XFolGpFYQ |
| Bulk Update Links | PATCH | /links/bulk |
conn_mod_def::GKxTTIWxfcg::-cIpjeIqS4KJQfTDg63rZQ |
| Create a Link | POST | /links |
conn_mod_def::GKxTTHhVAUA::MmjqnWDTSwi16M08Odak9w |
| Delete a Workspace Link | DELETE | /links/{{linkId}} |
conn_mod_def::GKxTTHhU2jA::nbpNc2LoT0mi8Voi6yTKRQ |
| Update a Workspace Link | PATCH | /links/{{linkId}} |
conn_mod_def::GKxTTYsnYAA::AVgQx32hQ-Kb3EEBeiJSUA |
| Upsert a Link | PUT | /links/upsert |
conn_mod_def::GKxTTX7qYSA::f9AxhziETzabSEboc-KmGg |
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.
- 7d ago First seen · 203 lines · 0 tokens per session scan A ced3c868285e
dub is a skill published in the GitHub repository withoneai/one-agent-plugin (1 stars, last pushed 21d ago), licensed MIT. It adds 98 tokens to every session and 3,534 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 81% identical to 2-chat, differing in 248 lines, and is treated as a copy.
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