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/withoneai/one-agent-plugin/agoranpx skills add withoneai/one-agent-plugin --skill agoragit 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/agora)<a href="https://agentmods.dev/skills/withoneai/one-agent-plugin/agora"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/agora.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 | $0.01277 |
| Opus 5 | $0.00000 | $0.00639 |
| Sonnet 5 | $0.00000 | $0.00255 |
| Haiku 4.5 | $0.00000 | $0.00128 |
Grade A, and why
agora 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 3d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- algo-docs — 86% identical, 59 lines differ
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agora through One
Agora is a real-time engagement platform that provides APIs and SDKs for voice, video, live streaming, chat, and interactive broadcasting, allowing developers to embed low-latency communication features into web, mobile, and desktop applications.
One exposes Agora 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 platformagoraif 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 Agora 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 Agora 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
Agents
| Action | Method | Path | Action id |
|---|---|---|---|
| List Agents for a Project | GET | /agents |
conn_mod_def::GK9hfH5nzWE::oKWyIEwWR66tXdpw9ZbQ-w |
| Query Agent Status | GET | /agents/{{agentId}} |
conn_mod_def::GK9hfFVRLC8::Xavb-y5BTjepQtnoEE3T0A |
| Broadcast a Message Using TTS for an Agent | POST | /agents/{{agentId}}/speak |
conn_mod_def::GK9hfGaWBRY::5vQPM6g3SK2xRvU_7_fHXA |
| Interrupt an Agent | POST | /agents/{{agentId}}/interrupt |
conn_mod_def::GK9hfFSifKo::x6IpODIYRwSyRxOtm4t9-Q |
| Update an Agent's Configuration | POST | /agents/{{agentId}}/update |
conn_mod_def::GK9hfREzNhA::QR1ZdL5vRli-LU-oakN6iQ |
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.
- 3d ago First seen · 75 lines · 0 tokens per session scan A 2e2a6d2ba060
agora is a skill published in the GitHub repository withoneai/one-agent-plugin (1 stars, last pushed 14d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,277 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 2026-08-31.
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