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 davekilleen/Dex --skill daily-plangit clone --depth 1 https://github.com/davekilleen/DexWrote 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/davekilleen/dex/daily-plan)<a href="https://agentmods.dev/skills/davekilleen/dex/daily-plan"><img src="https://agentmods.dev/badge/skills/davekilleen/dex/daily-plan/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/davekilleen/dex/daily-plan"><img src="https://agentmods.dev/badge/skills/davekilleen/dex/daily-plan.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 | $0.00069 | $0.08801 |
| Opus 5.5 | $0.00028 | $0.03520 |
| Sonnet 5.5 | $0.00014 | $0.01760 |
| Haiku 4.5 | $0.00007 | $0.00880 |
Grade A, and why
daily-plan 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 today.
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 — 809 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Execution mode
Run inline in the current conversation by default, so this work can see what the user has already discussed, decided, or settled this session. Do not fork merely because this skill was selected. Only run in the background when the user explicitly asks for a background run or the host has already obtained a specific background-work approval for this run.
Delegated gathering (large-vault scaling)
This skill stays inline as described above: it keeps session awareness, it asks the user the questions, and it owns every interactive step. What it does NOT do inline is the bulk read-gathering, which on a mature vault (hundreds of notes, thousands of indexed messages, a live calendar and multiple integrations) can be large enough to exhaust the main conversation before the useful work starts.
So the gathering phase is delegated to one general-purpose subagent via the
Agent tool, using the self-contained prompt in this skill's
AGENT_INSTRUCTIONS.md:
- Read
.agents/skills/daily-plan/AGENT_INSTRUCTIONS.md. - Substitute its placeholders (
{{TARGET_DATE}},{{TARGET_DATE_PLUS_1}},{{DAY_NAME}},{{MONTH}},{{DD}}). - Call the Agent tool with
subagent_type: "general-purpose",model: "sonnet", that prompt, and a short description. The brief is mechanical gathering, so it runs on the fast tier declared by this skill'smodel_routing.steps.data-gathering; the judgement calls stay in this conversation on the default model. - Verify it wrote the draft plan to the resolved daily-plan folder (see Daily plan folder), then run the remaining interactive steps from its findings and present the plan.
- Close out every
<!-- NEEDS TASK -->line in the draft. The subagent never creates tasks, so a focus candidate with no existing task is written without a checkbox and marked. For each one: confirm it with the user per Step 6, create the task withcreate_task, then rewrite that line as a- [ ]checkbox carrying the returned^task-YYYYMMDD-XXXanchor and remove the marker. If the user declines, remove the marker and leave the line checkbox-free. Never leave the marker in the saved plan, and never turn one of these lines into a checkbox without an anchor — an anchorless checkbox is invisible to completion sync forever (Step 6).
What ships with it
1 file 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.
- today Changed · +4 lines f72bd06be10c
- 2d ago Changed f806490add83
- 19d ago Changed · +10 lines cbe2a403a3a4
- 28d ago Changed · +3 lines 4f83d6cf4a25
- 1mo ago Changed 42b389f388cf
- 1mo ago Changed · +20 lines c6e67ea657da
- 1mo ago Changed · +1 lines 3e9819897651
- 1mo ago First seen · 771 lines · 69 tokens per session scan A 54b4c6839b52
daily-plan is a skill published in the GitHub repository davekilleen/Dex (507 stars, last pushed yesterday), licensed MIT. It adds 69 tokens to every session and 8,801 once invoked, about $0.0003 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 2026-09-02.
Other skills, from other repositories
meeting-notes
Use when the user asks to capture, structure, or summarize meeting notes / call notes / 1:1 discussion / standup notes. Produces a standard template with attendees, agenda, decisions, action items (owner + deadline), and open questions.
gmail
Manage Gmail email — drafting, sending, organizing, filters, vacation replies, and inbox analysis.
schedule
Reminders, automations, and recurring page, dashboard, or status monitoring (cron, RRULE, or fire-at).
inbox-cleanup
Run a high-recall, multi-pass email inbox cleanup. Pattern-based subject queries catch 25x more archivable email than sender scans alone. Includes urgency triage, classification signals, and post-cleanup filter setup.
inbox-management
Ongoing Gmail inbox management via scheduled runs. Archives known noise, flags urgent items, drafts replies in-thread (never auto-sends), and catches stale follow-ups. Empty polls spend no model tokens. Starts in flag-only mode.
notifications
Send notifications through the unified notification router.