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 pjt222/agent-almanac --skill assess-trail-conditionsgit clone --depth 1 https://github.com/pjt222/agent-almanacWrote 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/pjt222/agent-almanac/assess-trail-conditions)<a href="https://agentmods.dev/skills/pjt222/agent-almanac/assess-trail-conditions"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/assess-trail-conditions/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/pjt222/agent-almanac/assess-trail-conditions"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/assess-trail-conditions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00095 | $0.03396 |
| Opus 5.5 | $0.00038 | $0.01358 |
| Sonnet 5.5 | $0.00019 | $0.00679 |
| Haiku 4.5 | $0.00010 | $0.00340 |
Grade A, and why
assess-trail-conditions 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 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.
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 — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Assess Trail Conditions
Evaluate current trail conditions for safety decision-making before a planned hike or during tour planning.
When to Use
- The day before or morning of a planned hike to make a go/no-go decision
- During tour planning to assess seasonal viability of a route
- After unexpected weather changes during a multi-day tour
- When reports suggest trail damage, closures, or unusual hazards
- Before committing to an alpine or exposed route
Inputs
- Required: Trail name, region, and approximate coordinates or waypoints
- Required: Planned date(s) of the hike
- Optional: Trail difficulty rating (SAC T1-T6)
- Optional: Maximum elevation on the route
- Optional: Known hazard points (river crossings, exposed ridges, glaciers)
- Optional: Group experience level (affects risk tolerance thresholds)
Procedure
Step 1: Gather Weather Data
Collect weather forecasts from multiple sources for the trail's elevation range.
Weather Data Sources (in preference order):
┌────────────────────────┬──────────────────────────────────────┐
│ Source │ Best for │
├────────────────────────┼──────────────────────────────────────┤
│ National weather svc │ Official forecasts with warnings │
│ (MeteoSwiss, ZAMG, │ │
│ DWD, Meteo-France) │ │
├────────────────────────┼──────────────────────────────────────┤
│ Mountain-specific │ Altitude-stratified forecasts │
│ forecasts (e.g., │ (valley vs. summit conditions) │
│ bergfex, meteoblue) │ │
├────────────────────────┼──────────────────────────────────────┤
│ Avalanche bulletins │ Snow stability (winter/spring) │
│ (SLF, EAWS members) │ │
├────────────────────────┼──────────────────────────────────────┤
│ Local webcams │ Real-time visual conditions │
├────────────────────────┼──────────────────────────────────────┤
│ Recent trip reports │ On-the-ground observations │
└────────────────────────┴──────────────────────────────────────┘
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 · 308 lines · 95 tokens per session scan A 46a8a3e04f12
assess-trail-conditions is a skill published in the GitHub repository pjt222/agent-almanac (42 stars, last pushed 5d ago), licensed MIT. It adds 95 tokens to every session and 3,396 once invoked, about $0.0004 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 2026-09-03.
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