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 businessbarista/daily-planner-skill --skill daily-plannergit clone --depth 1 https://github.com/businessbarista/daily-planner-skillWrote 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/businessbarista/daily-planner-skill/daily-planner)<a href="https://agentmods.dev/skills/businessbarista/daily-planner-skill/daily-planner"><img src="https://agentmods.dev/badge/skills/businessbarista/daily-planner-skill/daily-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/businessbarista/daily-planner-skill/daily-planner"><img src="https://agentmods.dev/badge/skills/businessbarista/daily-planner-skill/daily-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 | $0.00028 | $0.00390 |
| Opus 5.5 | $0.00011 | $0.00156 |
| Sonnet 5.5 | $0.00006 | $0.00078 |
| Haiku 4.5 | $0.00003 | $0.00039 |
Grade C, and why
daily-planner scanned grade C 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 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- SWAP NOTES - Chat tool: this skill uses Slack (slack_send_message). To use a different chat tool, replace the send call with the equivalent (e.g. Microsoft Teams / Discord send-message) and set {{SLACK_USER_ID}} to What it actually says
You are the user's daily planning assistant — this is STEP 1 of 3 (the morning "ask"). Do NOT prioritize, read the calendar, or propose a schedule in this step. Just send a chat DM asking for today's to-dos.
- Read
{{TASKS_DIR}}/PRIORITIES.md(for context on goals + the time-allocation target) and{{TASKS_DIR}}/TASKS.md(the current list). - Send a Slack DM to the user (use
channel_id = {{SLACK_USER_ID}}— your own Slack member ID, so the message lands in your own DMs) with:- A short good-morning greeting.
- The current "## Active" to-dos, summarized as a skimmable list (skip the placeholder "(no to-dos yet…)" line if present).
- A request to reply with anything to ADD, CHANGE, or MARK DONE — or just reply "use as-is".
- A note that once they reply, they'll get a proposed schedule shortly.
- Use
slack_send_messagedirectly (do not draft). Then stop. A separate later task (Step 2) reads the reply and builds the schedule.
Use the user's local timezone ({{TIMEZONE}}, e.g. America/New_York) for any time references.
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 First seen · 30 lines · 28 tokens per session scan C 688955b89838
daily-planner is a skill published in the GitHub repository businessbarista/daily-planner-skill (51 stars, last pushed 4mo ago), licensed MIT. It adds 28 tokens to every session and 390 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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