Borrowing it
Nothing to install: this file belongs to lostnumber07/shearline. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lostnumber07/shearline/main/.claude/skills/event-day-lightning-watch/SKILL.mdgit clone --depth 1 https://github.com/lostnumber07/shearlineWrote 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/lostnumber07/shearline/event-day-lightning-watch)<a href="https://agentmods.dev/skills/lostnumber07/shearline/event-day-lightning-watch"><img src="https://agentmods.dev/badge/skills/lostnumber07/shearline/event-day-lightning-watch/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/lostnumber07/shearline/event-day-lightning-watch"><img src="https://agentmods.dev/badge/skills/lostnumber07/shearline/event-day-lightning-watch.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 | $0.00075 | $0.00683 |
| Opus 5.5 | $0.00030 | $0.00273 |
| Sonnet 5.5 | $0.00015 | $0.00137 |
| Haiku 4.5 | $0.00007 | $0.00068 |
Grade A, and why
event-day-lightning-watch 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 2mo 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Event-day lightning watch
Goal: keep people safe at a fixed outdoor venue by polling lightning proximity and issuing clear continue / suspend / shelter / resume calls using standard lightning-safety thresholds.
Reminder: this supports an on-site safety officer; it does not replace one. The venue's emergency plan and official warnings take precedence.
Inputs you need
- Venue —
lat, lon(CONUS). - Event window — start/end local time.
- Poll interval — every 5–10 minutes during the window (lightning evolves fast).
Standard thresholds (apply these consistently)
- ≤ 10 km from the venue → SHELTER NOW (strikes essentially overhead; 30-30 rule).
- ≤ 16 km (~10 mi) → SUSPEND outdoor activity, move toward shelter.
- > 16 km but present / approaching → HEIGHTENED WATCH, ready to suspend.
- Resume only 30 minutes after the last strike within 16 km.
Procedure
-
Pre-event baseline.
get_threat_brief(lat, lon)- Note the overall
threat_level, theattention_window, and anylightning_summary. If the brief is alreadyelevated+ for storms/lightning, brief the safety officer before doors open.
- Note the overall
-
Poll during the event. Every 5–10 min:
get_lightning(lat, lon, radius_km=16, minutes=15)- Read
data.flash_count,data.flashes_per_min, anddata.nearest_strike.distance_km/time_utc. - Apply the thresholds above to set the current call.
- Track the last strike time within 16 km to drive the 30-minute resume clock.
- Read
-
Escalation check. If lightning appears or the flash rate climbs, also run
get_threat_brief(lat, lon)to see whether severe weather (not just lightning) is developing — hail/wind/tornado may warrant evacuation beyond a lightning hold. -
Resume. When
get_lightningshows no strikes within 16 km for a continuous 30 minutes, clear the suspension.
Output template (per poll)
[<time_utc>] Lightning watch — <venue>
Nearest strike: <dist> km <dir> at <time_utc> (flashes <n>, <rate>/min within 16 km)
CALL: <CONTINUE | HEIGHTENED WATCH | SUSPEND | SHELTER NOW | CLEARED>
Resume eligible at: <last-strike-time + 30 min, or "n/a">
Notes: <e.g. "rate increasing, cell approaching from SW">
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.
- 2mo ago First seen · 56 lines · 75 tokens per session scan A ce9a42fba5f0
event-day-lightning-watch is a skill published in the GitHub repository lostnumber07/shearline (1 stars, last pushed 1mo ago), licensed MIT. It adds 75 tokens to every session and 683 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 2026-08-31.
event-day-lightning-watch compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| event-day-lightning-watchlostnumber07/shearline | Skill | 1 | 1mo ago | MIT | A | 75 | Claude Code |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |