Borrowing it
Nothing to install: this file belongs to responsible-genai-hackweek/nicer-nisar. 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/responsible-genai-hackweek/nicer-nisar/main/.agents/skills/opera-rtc-s1-download/SKILL.mdgit clone --depth 1 https://github.com/responsible-genai-hackweek/nicer-nisarWrote 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/responsible-genai-hackweek/nicer-nisar/opera-rtc-s1-download)<a href="https://agentmods.dev/skills/responsible-genai-hackweek/nicer-nisar/opera-rtc-s1-download"><img src="https://agentmods.dev/badge/skills/responsible-genai-hackweek/nicer-nisar/opera-rtc-s1-download/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/responsible-genai-hackweek/nicer-nisar/opera-rtc-s1-download"><img src="https://agentmods.dev/badge/skills/responsible-genai-hackweek/nicer-nisar/opera-rtc-s1-download.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 | $0.00054 | $0.00717 |
| Opus 5 | $0.00027 | $0.00358 |
| Sonnet 5 | $0.00011 | $0.00143 |
| Haiku 4.5 | $0.00005 | $0.00072 |
Grade C, and why
opera-rtc-s1-download scanned grade C 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 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.
Reaches for credential fileshighPrivilege escalation
SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.
- ASF **datapool download** needs `~/.netrc`: How it starts
The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OPERA RTC-S1 VV download
Working example in this repo (pixi):
- Size check:
contributors/ajoros/opera_vv_size_check.py - Bulk pull:
contributors/ajoros/download_opera_rtc_vv.py
AOI numbers and polygons: references/aois.md.
When not to use this
- NISAR GCOV / GSLC / GUNW / SME2 — different product, GB-class files.
- Glacier velocity — GOFF / offsets, not RTC.
- Melt-onset math —
snow_depth_retrieval/amplitude(once those exist). - Davis Fire 2024 pre/during/post — there is no NISAR; this skill is the right S1 path.
Procedure
- Confirm product:
short_name="OPERA_L2_RTC-S1_V1". - Search with a tight bbox or closed CCW polygon. Loop calendar years with
temporal=(f"{year}-02-01", f"{year}-08-31")so Sep–Jan is not included.count=-1. - Collect HTTPS
_VV.tifonly (data_links(access="external")). Preferasf.alaska.edu. Do not pass granule objects toearthaccess.download— that pulls VV + VH + mask + h5. - Size check: download one VV COG, print bytes, multiply by catalog count. CMR often has no file size. Do not start a multi-GB pull until that number exists.
- Authenticate, then
earthaccess.download(urls, provider="ASF"). See Auth. Do not useearthaccess.open()for ASF datapool. - Write files as
{root}/{site}/{T###}/{yyyy}/OPERA_..._VV.tif.T###is Sentinel-1 relative orbit. Do not mix tracks in one melt series. - Re-run is safe: skip files ≳ 1 MiB; delete smaller partials and retry.
Do not commit the stack (
contributors/ajoros/data/is gitignored).
Auth
- CMR search can use
EARTHDATA_TOKEN. - ASF datapool download needs
~/.netrc:unset EARTHDATA_TOKENearthaccess.login(strategy="netrc")earthaccess.download(urls, provider="ASF") - Do not use
earthaccess.open()(Bearer / fsspec HEAD → URS OAuth 401). - If both token and netrc exist, drop the token before download.
- Still 401 after netrc: Earthdata profile → Applications → authorize ASF.
- Never paste tokens or passwords into chat, git, or the skill.
What ships with it
1 file 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 · 57 lines · 54 tokens per session scan C c33f03cfda41
opera-rtc-s1-download is a skill published in the GitHub repository responsible-genai-hackweek/nicer-nisar (2 stars, last pushed 14d ago), licensed BSD-3-Clause. It adds 54 tokens to every session and 717 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 1 finding (reaches for credential files). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
mechanical-engineering-research
Apply source-aware mechanical-engineering judgment to research, analysis, coding, writing, teaching, research identity, and release work. Use for thermal-fluid systems, heat transfer, fluid mechanics, thermodynamics, HVAC, energy systems, turbomachinery, piping, multiphase flow, experiments, correlations, CFD…
research-schematic-design
Create publication-quality, editable scientific and engineering schematics with explicit physical meaning, exact labels, visual hierarchy, and provenance. Use for experimental facilities, thermal-fluid mechanisms, workflows, graphical abstracts, system architectures, or research diagrams.
thermal-fluid-analysis
Analyze thermal-fluid engineering systems, experiments, CFD, and correlations with explicit assumptions, validity limits, uncertainty, and mechanism-based interpretation. Use for heat transfer, fluid mechanics, phase change, HVAC, energy systems, turbomachinery, piping, or thermal management.
research-data-analysis
Design and analyze engineering experiments or simulations using baseline cases, hypothesis-driven DOE, traceable data processing, defensible plots, uncertainty, and validation. Use for CFD, laboratory data, ML workflows, parameter studies, or research code.
research-lab
A research workflow for questions that can be tested with evidence, such as comparing models or software. It defines the question, baseline, candidates, data, measurements, and decision rules before running or resuming an experiment.
alternative-coffee-intelligence
Alternative Slowbar coffee intelligence — scientific analysis from seed to cup using First Principle + System Thinking. Covers: varieties, terroir, cultivation, disease diagnosis, processing, roasting physics/chemistry, extraction science, brewing, business strategy, storytelling. ALWAYS trigger for coffee-related…