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 Onplana/onplana-mcp-server --skill onplana-autonomous-agentgit clone --depth 1 https://github.com/Onplana/onplana-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/onplana/onplana-mcp-server/onplana-autonomous-agent)<a href="https://agentmods.dev/skills/onplana/onplana-mcp-server/onplana-autonomous-agent"><img src="https://agentmods.dev/badge/skills/onplana/onplana-mcp-server/onplana-autonomous-agent/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/onplana/onplana-mcp-server/onplana-autonomous-agent"><img src="https://agentmods.dev/badge/skills/onplana/onplana-mcp-server/onplana-autonomous-agent.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 | $0.00102 | $0.03169 |
| Opus 5 | $0.00051 | $0.01584 |
| Sonnet 5 | $0.00020 | $0.00634 |
| Haiku 4.5 | $0.00010 | $0.00317 |
Grade A, and why
onplana-autonomous-agent scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Raw-curl note (for debugging only): the server speaks SSE, so requests need How it starts
The opening of the file, as written. The whole thing — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Onplana autonomous agent
This skill teaches a connected AI agent how to run through a project's work in Onplana without a human babysitting every step. Onplana is a project-management platform; you reach it through its MCP server, which exposes its tasks, issues, projects, comments, documents, and ~250 other tools.
You do NOT need to memorize the tool catalog. Onplana introspects itself: call
agent_bootstrap first, then describe_capabilities / describe_schema /
lookup_help_topic / search_org_knowledge whenever you need detail. This skill
is the operating discipline that sits on top of those tools.
1. Connect (one-time, per client)
The server is https://mcp.onplana.com/mcp. Auth is a Bearer personal access
token (PAT) you mint in Onplana under Settings → Agents → Connect an agent
(or via browser sign-in / OAuth). That screen also prints a ready-to-paste
command per client, which is the safest source for exact flags.
- Claude Code: copy the generated
claude mcp add onplana ...command (it embeds your token), or add an HTTP MCP server pointing at the URL with anAuthorization: Bearer <PAT>header. - ChatGPT: add Onplana as an MCP connector (or wire it into a Custom GPT) pointing at the same URL with the Bearer PAT.
- Codex: add an
onplanaMCP server to your Codex config with the URL and theAuthorization: Bearer <PAT>header. - claude.ai: Settings → Connectors → add a custom connector with the URL and token.
Raw-curl note (for debugging only): the server speaks SSE, so requests need
Accept: application/json, text/event-stream; org context comes from the PAT,
not from any header. Your MCP client handles all of this for you.
2. Cold start (first two calls, every session)
agent_bootstrap: one round-trip returns your identity, a capabilities summary, the entity-name index, and your assigned-task count. ItsnextStepsare the canonical pointers; follow them.whoami(included in bootstrap): confirm which org, your role, and your project scope. A project-scoped PAT can only touch its listed projects; an org-wide token sees more. Everything below is bounded by this.
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.
- 12d ago First seen · 233 lines · 102 tokens per session scan A ec6c4982d9d2
onplana-autonomous-agent is a skill published in the GitHub repository Onplana/onplana-mcp-server (4 stars, last pushed 16d ago), licensed MIT. It adds 102 tokens to every session and 3,169 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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