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-project-plannergit 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-project-planner)<a href="https://agentmods.dev/skills/onplana/onplana-mcp-server/onplana-project-planner"><img src="https://agentmods.dev/badge/skills/onplana/onplana-mcp-server/onplana-project-planner/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-project-planner"><img src="https://agentmods.dev/badge/skills/onplana/onplana-mcp-server/onplana-project-planner.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 | $0.00133 | $0.03655 |
| Opus 5.5 | $0.00053 | $0.01462 |
| Sonnet 5.5 | $0.00027 | $0.00731 |
| Haiku 4.5 | $0.00013 | $0.00365 |
Grade A, and why
onplana-project-planner 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 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.
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 — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Onplana project planner
This skill teaches a connected AI agent how to turn a goal into a real, runnable plan inside Onplana: a written plan document attached to the project, and a task tree (with dates, dependencies, owners, test cases, and downstream-surface tasks) that another agent or a human can pick up and execute. Onplana is a project-management platform you reach through its MCP server.
It is the front half of a pair. This skill builds the plan; the
onplana-autonomous-agent skill runs it. 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.
1. Connect and cold start
Connection is identical to the execution skill: the server is
https://mcp.onplana.com/mcp, auth is a Bearer personal access token minted
under Settings → Agents → Connect an agent. See the onplana-autonomous-agent
skill, section 1, for the per-client setup (Claude Code / ChatGPT / Codex /
claude.ai). In Claude Code with the Onplana plugin installed, the plugin brings
the server with it: run /onplana-connect once to sign in.
Every session, start the same two ways:
agent_bootstrap: identity, capabilities, entity-name index, assigned-task count. Follow itsnextSteps.whoami: confirm which org, your role, and your project scope. Planning creates a lot of objects (a project, tasks, assignments), so know up front whether your token is org-wide or scoped to specific projects. A 402 (plan/quota) or 403 (permission/scope) is a boundary, not a bug: log it, skip that action, keep going.
2. The planning method (the pipeline)
Planning is a pipeline, not a single call. The order matters because each stage feeds the next:
Frame → write plan.md → decompose → schedule → assign → test cases → downstream surfaces → review → hand off.
Autonomy modes. Default is high: build the whole plan, then report. If a
human prefixes the run with autonomy: guided, draft each stage and wait for a
go-ahead before you commit it (especially before creating the task tree and before
assigning real people). When unsure which mode you are in, ask once, then proceed.
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 Changed · +1 lines ae19b0bd72be
- 1mo ago First seen · 278 lines · 133 tokens per session scan A 00129cdb8bd5
onplana-project-planner is a skill published in the GitHub repository Onplana/onplana-mcp-server (4 stars, last pushed 9d ago), licensed MIT. It adds 133 tokens to every session and 3,655 once invoked, about $0.0005 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.
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