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 aashari/ai-agent-skills --skill calendar-searchgit clone --depth 1 https://github.com/aashari/ai-agent-skillsWrote 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/aashari/ai-agent-skills/calendar-search)<a href="https://agentmods.dev/skills/aashari/ai-agent-skills/calendar-search"><img src="https://agentmods.dev/badge/skills/aashari/ai-agent-skills/calendar-search/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/aashari/ai-agent-skills/calendar-search"><img src="https://agentmods.dev/badge/skills/aashari/ai-agent-skills/calendar-search.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 | $0.00036 | $0.00618 |
| Opus 5 | $0.00018 | $0.00309 |
| Sonnet 5 | $0.00007 | $0.00124 |
| Haiku 4.5 | $0.00004 | $0.00062 |
Grade A, and why
calendar-search 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 11d 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.
What it actually says
Calendar Search — Find Events by Keyword
Search across all calendar events by title, location, or description.
Arguments
$ARGUMENTS — search query with optional modifiers:
"standup"→ search title/location/description"standup last week"→ add time filter"calendar:Work standup"→ filter by calendar name"from:2025-01-01 to:2025-03-01 sprint"→ date range
Steps
DB="$HOME/Library/Group Containers/group.com.apple.calendar/Calendar.sqlitedb"
QUERY="$ARGUMENTS"
# Extract keyword (strip known modifiers for SQL LIKE)
KEYWORD=$(echo "$QUERY" | sed 's/last [0-9]* \(day\|week\|month\)s\?//gi' | sed 's/calendar:[^ ]*//gi' | xargs)
# Default: search all time (no date filter) — show most recent 50 matches
sqlite3 -separator '|' "$DB" "
SELECT
date(COALESCE(oc.occurrence_start_date, oc.occurrence_date) + 978307200, 'unixepoch', 'localtime') as event_date,
COALESCE(
strftime('%H:%M', oc.occurrence_start_date + 978307200, 'unixepoch', 'localtime'),
'all-day'
) as start_time,
ci.summary as title,
COALESCE(l.title, '') as location,
c.title as calendar,
ci.ROWID as id
FROM OccurrenceCache oc
JOIN CalendarItem ci ON oc.event_id = ci.ROWID
LEFT JOIN Calendar c ON ci.calendar_id = c.ROWID
LEFT JOIN Store s ON c.store_id = s.ROWID
LEFT JOIN Location l ON ci.location_id = l.ROWID
WHERE ci.hidden = 0
AND ci.status != 2
AND s.type != 5
AND s.disabled = 0
AND (
ci.summary LIKE '%${KEYWORD}%'
OR l.title LIKE '%${KEYWORD}%'
OR ci.description LIKE '%${KEYWORD}%'
)
GROUP BY ci.ROWID, event_date
ORDER BY COALESCE(oc.occurrence_start_date, oc.occurrence_date) DESC
LIMIT 50;
"
Output Format
Table: Date | Time | Event | Location | Calendar
Show total match count. If over 50 results, note the limit. If no results: suggest broadening the search or checking spelling.
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.
- 11d ago First seen · 71 lines · 36 tokens per session scan A 5ed60b11293d
calendar-search is a skill published in the GitHub repository aashari/ai-agent-skills (5 stars, last pushed 6mo ago), licensed MIT. It adds 36 tokens to every session and 618 once invoked, about $0.0002 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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