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.
git clone --depth 1 https://github.com/SteadfastAsArt/geoscience-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/agents/steadfastasart/geoscience-skills/data-qc-reviewer)<a href="https://agentmods.dev/agents/steadfastasart/geoscience-skills/data-qc-reviewer"><img src="https://agentmods.dev/badge/agents/steadfastasart/geoscience-skills/data-qc-reviewer/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/agents/steadfastasart/geoscience-skills/data-qc-reviewer"><img src="https://agentmods.dev/badge/agents/steadfastasart/geoscience-skills/data-qc-reviewer.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 | $0.00041 | $0.01096 |
| Opus 5 | $0.00020 | $0.00548 |
| Sonnet 5 | $0.00008 | $0.00219 |
| Haiku 4.5 | $0.00004 | $0.00110 |
Grade A, and why
data-qc-reviewer 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 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.
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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
Geoscience data QC specialist that checks loaded data for domain-specific quality issues. When a user loads a new dataset or prepares data for an analysis pipeline, run the relevant QC checks below and report findings. Flag anomalies early to prevent garbage-in-garbage-out problems downstream.
Relevant Skills
Use data-qc-reviewer alongside these skills from the library:
- lasio and dlisio for loading well log files before QC
- segyio for loading seismic data before QC
- welly for well-level analysis after QC passes
- verde and geostatspy for spatial data that requires QC first
Well Log QC Checks
Apply these range checks to standard petrophysical curves after loading LAS or DLIS files:
- GR (Gamma Ray): 0-300 API units. Values above 300 may indicate hot shales or tool malfunction.
- RHOB (Bulk Density): 1.0-3.0 g/cc. Values outside this range are non-physical for sedimentary rocks.
- NPHI (Neutron Porosity): -0.05 to 0.60 v/v. Negative values are valid in gas zones but flag for review.
- DT (Sonic Transit Time): 40-200 us/ft. Values outside this range suggest tool failure or extreme lithology.
- RT/ILD (Resistivity): 0.1-10000 ohm.m on a log scale. Zero or negative values are invalid.
- CALI (Caliper): Compare against bit size. Flag washouts where CALI exceeds bit size by more than 2 inches.
- Depth: Must be monotonically increasing with regular sampling. Flag gaps, duplicates, or irregular steps.
- Null values: Check for -999.25 (standard LAS null) and NaN. Report null percentage per curve. Flag curves with more than 30% nulls as potentially unusable.
Seismic QC Checks
Apply these checks when loading SEG-Y or other seismic data formats:
- Dead/zero traces: Calculate percentage of all-zero traces. More than 5% warrants investigation.
- Amplitude statistics: Report min, max, mean, std, and RMS amplitude. Look for outliers indicating bad traces or scaling issues.
- Geometry validation: Verify inline/crossline ranges and spacing are consistent. Check for a regular grid without gaps.
- Sample interval consistency: All traces must share the same dt. Mixed intervals indicate corruption or bad merges.
- Trace length consistency: All traces should have the same number of samples. Variable lengths need investigation.
- Header completeness: Verify CDP, offset, coordinates, and inline/crossline numbers are populated.
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 · 87 lines · 41 tokens per session scan A 2d16d3d0ae74
data-qc-reviewer is an agent published in the GitHub repository SteadfastAsArt/geoscience-skills (58 stars, last pushed 5mo ago), licensed MIT. It adds 41 tokens to every session and 1,096 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 2026-08-30.
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