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 kip-d/omnifocus-mcp --skill omnifocus-assistantgit clone --depth 1 https://github.com/kip-d/omnifocus-mcpWrote 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/kip-d/omnifocus-mcp/omnifocus-assistant)<a href="https://agentmods.dev/skills/kip-d/omnifocus-mcp/omnifocus-assistant"><img src="https://agentmods.dev/badge/skills/kip-d/omnifocus-mcp/omnifocus-assistant/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/kip-d/omnifocus-mcp/omnifocus-assistant"><img src="https://agentmods.dev/badge/skills/kip-d/omnifocus-mcp/omnifocus-assistant.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 | $0.00026 | $0.02723 |
| Opus 5.5 | $0.00010 | $0.01089 |
| Sonnet 5.5 | $0.00005 | $0.00545 |
| Haiku 4.5 | $0.00003 | $0.00272 |
Grade A, and why
omnifocus-assistant 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 — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OmniFocus Assistant
Brain + Hands Architecture: This skill provides the "brain" (methodology, intent interpretation, guidance). The OmniFocus MCP server provides the "hands" (tool execution). Use both together.
Intent Recognition
Step 1: Information or Action?
User wants information → omnifocus_read (read-only)
User wants to change something → omnifocus_write (creates/updates/deletes)
User wants insights → omnifocus_analyze
User wants GTD guidance → Provide advice (no tool call needed)
Reference map
The detail lives in references/. Read a file when its trigger fires — never read them all up front. Read more than one
when a request spans them (a weekly review needs the workflow file and the GTD file).
When no row clearly matches, do not answer from general knowledge. These files hold project-specific conventions
that used to be unconditionally in context, so a miss silently substitutes generic advice for Kip's actual conventions.
On an ambiguous or compound request, read references/intent-to-tool-calls.md first — it maps phrasing to tools and
usually disambiguates — then the closest-matching row above. Reading one file too many costs a few hundred tokens;
reading one too few silently changes the answer.
What belongs in a references/ file (the extraction rule, adopted from wrap-up PR #7): content whose trigger
fires no later than the earliest moment that needs it. The test is direction, not how many places use the content —
a file may serve several triggers, so long as every one of them precedes a use. What a reference file may never
carry is anything needed before it would be opened: a reader who loads it on the "creating a task" trigger never sees
it while deciding whether to create one at all. That content stays resident here — which is why Date Conversion and the
three result-reading hazards below are in this file rather than in the topic files they belong to. Group by when it's
needed, not by which topic it concerns.
What ships with it
10 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.
- references/advanced-queries.md 4.9 KB
- references/gtd-methodology.md 2.8 KB
- references/intent-to-tool-calls.md 6.8 KB
- references/interpreting-results.md 4.9 KB
- references/task-creation.md 8.8 KB
- references/workflow-daily-planning.md 927 B
- references/workflow-engage.md 1.4 KB
- references/workflow-guided-review.md 8.9 KB
- references/workflow-process-inbox.md 699 B
- references/workflow-weekly-review.md 2.7 KB
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 · +15 lines bc0b1b455140
- 16d ago Changed · +1 lines da88338d0692
- 2mo ago First seen · 194 lines · 26 tokens per session scan A 0a595baa4bf5
omnifocus-assistant is a skill published in the GitHub repository kip-d/omnifocus-mcp (1 stars, last pushed 2d ago), licensed MIT. It adds 26 tokens to every session and 2,723 once invoked, about $0.0001 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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