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 geezerrrr/motive --skill weathergit clone --depth 1 https://github.com/geezerrrr/motiveWrote 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/geezerrrr/motive/weather)<a href="https://agentmods.dev/skills/geezerrrr/motive/weather"><img src="https://agentmods.dev/badge/skills/geezerrrr/motive/weather/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/geezerrrr/motive/weather"><img src="https://agentmods.dev/badge/skills/geezerrrr/motive/weather.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 | $0.00013 | $0.00398 |
| Opus 5 | $0.00006 | $0.00199 |
| Sonnet 5 | $0.00003 | $0.00080 |
| Haiku 4.5 | $0.00001 | $0.00040 |
Grade A, and why
weather scanned grade A 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
metadata: { "openclaw": { "emoji": "🌤️", "requires": { "bins": ["curl"] } } } This is a copy
89% identical to weather — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Weather
Two free services, no API keys needed.
wttr.in (primary)
Quick one-liner:
curl -s "wttr.in/London?format=3"
# Output: London: ⛅️ +8°C
Compact format:
curl -s "wttr.in/London?format=%l:+%c+%t+%h+%w"
# Output: London: ⛅️ +8°C 71% ↙5km/h
Full forecast:
curl -s "wttr.in/London?T"
Format codes: %c condition · %t temp · %h humidity · %w wind · %l location · %m moon
Tips:
- URL-encode spaces:
wttr.in/New+York - Airport codes:
wttr.in/JFK - Units:
?m(metric)?u(USCS) - Today only:
?1· Current only:?0 - PNG:
curl -s "wttr.in/Berlin.png" -o /tmp/weather.png
Open-Meteo (fallback, JSON)
Free, no key, good for programmatic use:
curl -s "https://api.open-meteo.com/v1/forecast?latitude=51.5&longitude=-0.12¤t_weather=true"
Find coordinates for a city, then query. Returns JSON with temp, windspeed, weathercode.
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.
- 10d ago First seen · 55 lines · 13 tokens per session scan A 6953295d3da5
weather is a skill published in the GitHub repository geezerrrr/motive (117 stars, last pushed 6mo ago), licensed MIT. It adds 13 tokens to every session and 398 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 89% identical to weather, differing in 8 lines, and is treated as a copy.
Other skills, from other repositories
issue-maintenance
Periodic and on-demand maintenance pass over a repo's open GitHub issue backlog. Re-labels miscategorized or unlabeled issues (bug/enhancement/question/invalid/duplicate) and bug lifecycle labels (needs-repro/needs-info) following the same decision logic as Anthropic's own dogfooded triage-issue command; re-scores…
evidence-check
An honesty gate that makes an AI back up its claims with real evidence instead of presenting guesses as fact. Use as an always-on background behavior, and invoke explicitly when the user says show your work, prove it, how do you know that, evidence check, what's your source, back that up, or when the AI is…
ci-fix-with-memory
Automatically invoke when CI checks fail on a PR. Triggers on: any mention of CI failure, red checks, failed GitHub Actions, or "CI is broken/failing". Reads session handoffs and a known-issues log to avoid repeating failed fix attempts. Do NOT wait for user to ask — invoke as soon as a CI failure is confirmed. Not…
comment-reaper
Finds and removes unnecessary code comments - the ones that restate the code, cite an issue number, narrate refactor history, or wrap a one-line function in six lines of JSDoc. Sorts every find into auto-fix, propose, or never-touch, so the WHY comments survive the sweep. Trigger on: "comment reaper", "reap comments"…
plain-language-audit
Sweeps a codebase's text — comments, docstrings, markdown docs, and user-facing UI copy — for jargon that could be plainer, AI writing tells/tropes, and verbose text that could be tightened. Auto-fixes unambiguous swaps, surfaces judgment calls for review. Trigger on: "jargon audit", "plain language audit", "find…
test-reaper
Finds and removes dead or trivial tests - duplicates, tests that only assert a mock was called, render checks that prove nothing, and suites whose name promises behavior they never observe. Distinguishes a test that tests nothing from one that tests the wrong thing, because those need opposite fixes. Trigger on: "test…