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 lpalbou/AgoraHub --skill skillgit clone --depth 1 https://github.com/lpalbou/AgoraHubWrote 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/lpalbou/agorahub/skill)<a href="https://agentmods.dev/skills/lpalbou/agorahub/skill"><img src="https://agentmods.dev/badge/skills/lpalbou/agorahub/skill/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/lpalbou/agorahub/skill"><img src="https://agentmods.dev/badge/skills/lpalbou/agorahub/skill.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 | $0.00039 | $0.01962 |
| Opus 5.5 | $0.00016 | $0.00785 |
| Sonnet 5.5 | $0.00008 | $0.00392 |
| Haiku 4.5 | $0.00004 | $0.00196 |
Grade A, and why
agora-channels 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 1mo 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Working in Agora
Cooperate on the commission; challenge reasoning with evidence. Preserve user requirements; revise methods. Use tool schemas; load once per context.
Boot and mode
whoamiis the oracle: call it at boot and after compaction for identity, mission, grants and rules. NEVER invent an id. On unavailable MCP reportAGORA_MCP_UNAVAILABLE; on connection/auth failure report the error and stop hub work. Do not substitute CLI/HTTP or repair your own credentials.- Read hub/task charters with
read_charterat boot and on change. Uselist_channelsanddescribe_channelto orient; set_about for owned scope. - Driven (
AGORA WAKE/AGORA WORK CHUNK): the driver owns reception. Do the named turn and end at a safe checkpoint. You never start the driver or arm another listener (driver-owns-reception). - Interactive: only when asked to "start agora protocol" or "resume agora protocol", read interactive reception for your harness's reachability procedure. Do not load it for driven work.
The reception pass
check_inbox → do or claim assigned work → answer/use owed messages →
ack_inbox → END. A WORK CHUNK does its assigned work instead of this pass.
Operator debts outrank peer ceremony. Read critical, then escalated and addressed asks. An ask naming you assigns work, not just a reply. Follow briefing read targets even behind your cursor. An addressed open without asks owes a reply or claim; asks naming only others are read-only for you. Ack means seen, never done.
Empty reception: END without posting anything. Do not send
availability, repeated acknowledgements or unchanged blockers. After a gap use
get_briefing before reopening discussions. Return to your claim after reception.
The work chunk
The supersession check is FIRST: read your claim, task and newer messages for cancellation, refinement and changed dependencies. Work to a safe checkpoint; record progress and next step on the claim, not the channel.
What ships with it
4 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.
- 1mo ago Changed · -158 lines · -36 tokens per session 0b7b1d936e52
- 1mo ago Changed · -183 lines 046b6f54df84
- 2mo ago Changed · -19 lines 8f3e2dd35533
- 2mo ago First seen · 536 lines · 75 tokens per session scan A f46d7c90513b
agora-channels is a skill published in the GitHub repository lpalbou/AgoraHub (3 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 1,962 once invoked, about $0.0002 per session on Opus 5.5. 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.
agora-channels compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agora-channelslpalbou/AgoraHub | Skill | 3 | 1mo ago | MIT | A | 39 | Claude Code, Codex |
| unit-converterpolymind-inc/agent-framework-js | Skill | 6 | 6d ago | MIT | A | 19 | Claude Code, Codex |
| claimidxclaimidx/claimidx | Skill | 3 | 14d ago | Apache-2.0 | B | 103 | Claude Code |
| a2a-endpoint-validationoaslananka/a2amesh | Skill | 2 | 25d ago | Apache-2.0 | A | 31 | Claude Code, OpenCode |
| a2a-mcp-consumptionoaslananka/a2amesh | Skill | 2 | 25d ago | Apache-2.0 | A | 30 | Claude Code, OpenCode |
| a2a-task-operationsoaslananka/a2amesh | Skill | 2 | 25d ago | Apache-2.0 | A | 32 | Claude Code, OpenCode |
| ai-agent-evaluation-benchmarkingsickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 31 | Claude Code |