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 Howie126313/obsidian-vault-kit --skill review-schedulergit clone --depth 1 https://github.com/Howie126313/obsidian-vault-kitWrote 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/howie126313/obsidian-vault-kit/review-scheduler)<a href="https://agentmods.dev/skills/howie126313/obsidian-vault-kit/review-scheduler"><img src="https://agentmods.dev/badge/skills/howie126313/obsidian-vault-kit/review-scheduler/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/howie126313/obsidian-vault-kit/review-scheduler"><img src="https://agentmods.dev/badge/skills/howie126313/obsidian-vault-kit/review-scheduler.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 | $0.00071 | $0.01476 |
| Opus 5 | $0.00036 | $0.00738 |
| Sonnet 5 | $0.00014 | $0.00295 |
| Haiku 4.5 | $0.00007 | $0.00148 |
Grade A, and why
review-scheduler 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Scheduler
Manage spaced repetition review reminders for the Obsidian vault.
Argument Parsing
Parse user input arguments (args) to determine which subcommand to run:
- No args or
start→ execute Start Flow stop→ execute Stop Flowstatus→ execute Status Check
Start Flow
Step 0: Platform Check
This skill requires macOS. Check the platform first:
uname -s
If the output is not Darwin, inform the user that this skill is macOS-only (requires launchd, Swift compiler, and osascript) and stop.
Step 0.5: Dependency Check
Before any action, run these checks:
which python3 && python3 --version
python3 -c "import yaml; print('PyYAML OK')"
which swiftc
If any dependency is missing, stop immediately and report to user:
- Python 3 missing: suggest
brew install python3 - PyYAML missing: suggest
pip3 install pyyaml - swiftc missing: suggest
xcode-select --install
Proceed only after all checks pass.
Step 1: Ask User for Scheduled Time
Use AskUserQuestion to ask:
"What time would you like to receive daily review reminders? (default 9:00, format: 08:30, 21:00)"
Parse user input into Hour and Minute. If user presses enter or says "default", use 9:00.
Step 2: Check Existing Deployment
launchctl list 2>/dev/null | grep com.obsidian-vault-kit.review
- If already running → inform user "Review scheduler is already active", ask if they want to update the scheduled time
- If user doesn't want to update → end
- If user wants to update → run Stop Flow first, then continue with deployment
Step 3: Deploy Files
-
Detect vault path: follow ../../_shared/common-steps.md "Vault Detection" section, store as
$VAULT_ROOT -
Detect vault name: take the directory name of
$VAULT_ROOT -
Create
.review/directory:mkdir -p $VAULT_ROOT/.review -
Create
reviews/directory:mkdir -p $VAULT_ROOT/reviews -
Deploy review_reminder.py:
- Read references/review_reminder.py
- Replace
{{VAULT_PATH}}with the actual$VAULT_ROOTabsolute path - Replace
{{VAULT_NAME}}with the actual vault name - Write to
$VAULT_ROOT/.review/review_reminder.py
What ships with it
5 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.
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 · 176 lines · 71 tokens per session scan A e533ad75f490
review-scheduler is a skill published in the GitHub repository Howie126313/obsidian-vault-kit (3 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 71 tokens to every session and 1,476 once invoked, about $0.0004 per session on Opus 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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