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 HolobiomicsLab/asb-skill-collections --skill r-package-installation-verificationgit clone --depth 1 https://github.com/HolobiomicsLab/asb-skill-collectionsWrote 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/holobiomicslab/asb-skill-collections/r-package-installation-verification)<a href="https://agentmods.dev/skills/holobiomicslab/asb-skill-collections/r-package-installation-verification"><img src="https://agentmods.dev/badge/skills/holobiomicslab/asb-skill-collections/r-package-installation-verification/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/holobiomicslab/asb-skill-collections/r-package-installation-verification"><img src="https://agentmods.dev/badge/skills/holobiomicslab/asb-skill-collections/r-package-installation-verification.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 97 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00048 | $0.01846 |
| Opus 5 | $0.00024 | $0.00923 |
| Sonnet 5 | $0.00010 | $0.00369 |
| Haiku 4.5 | $0.00005 | $0.00185 |
Grade A, and why
r-package-installation-verification 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 4d 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
R package installation verification
Summary
Verify that required R packages (ggplot2, RColorBrewer, grid) are correctly installed and importable in the active R environment. This skill ensures that downstream R-based analysis steps in bioinformatics pipelines (such as HiC-Pro's visualization and normalization workflows) will succeed.
When to use
After installing R or modifying an R environment via conda, package managers, or container images; before running any pipeline step that depends on R packages for statistical analysis, visualization, or data normalization. Particularly critical when setting up HiC-Pro or similar pipelines that require specific R package versions (e.g., ggplot2 >2.2.1) for Hi-C contact map plotting and quality-control reporting.
When NOT to use
- R packages are already confirmed to be installed and functional in the current session (re-verification is redundant).
- The pipeline does not use R (e.g., pure Python workflows without R dependencies).
- Installing new R packages — this skill verifies existing installations, not installs them; use install.packages() or conda install for installation.
Inputs
- R environment (active shell or conda environment)
- R installation path or conda environment specification
- List of required package names and minimum version constraints (e.g., ggplot2 >2.2.1)
Outputs
- Verification report listing each package name, load status (success/failure), and installed version
- Error messages or warnings if any package failed to load
- Summary of R version and library paths used
How to apply
Launch an R session (interactive or via Rscript) and attempt to load each required package using the library() function. For HiC-Pro, verify ggplot2 (>2.2.1), RColorBrewer, and grid packages are available and callable. If a package fails to load, check the R version (must match pipeline requirements), verify the package was installed to the correct library path, and re-install if necessary via install.packages() or conda. Document the successful load of each package and its version number. The rationale is that R packages installed but not in the R_LIBPATHS or with incompatible versions will cause silent or cryptic runtime failures downstream; early verification prevents wasted compute.
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.
- 4d ago First seen · 117 lines · 48 tokens per session scan A a58a6df6953b
r-package-installation-verification is a skill published in the GitHub repository HolobiomicsLab/asb-skill-collections (15 stars, last pushed today), licensed Apache-2.0. It adds 48 tokens to every session and 1,846 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 2026-09-06.
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