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 bioinformatics-tool-binary-path-resolutiongit 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/bioinformatics-tool-binary-path-resolution)<a href="https://agentmods.dev/skills/holobiomicslab/asb-skill-collections/bioinformatics-tool-binary-path-resolution"><img src="https://agentmods.dev/badge/skills/holobiomicslab/asb-skill-collections/bioinformatics-tool-binary-path-resolution.svg" alt="Measured on agentmods" 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 | $0.00059 | $0.02357 |
| Opus 5 | $0.00030 | $0.01179 |
| Sonnet 5 | $0.00012 | $0.00471 |
| Haiku 4.5 | $0.00006 | $0.00236 |
Grade A, and why
bioinformatics-tool-binary-path-resolution 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 8d 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
bioinformatics-tool-binary-path-resolution
Summary
Resolve and verify the installation paths and executable availability of external bioinformatics tool binaries (e.g., bowtie2, samtools, iced) within a conda environment or system PATH, ensuring correct versions and runtime accessibility for a pipeline to function correctly.
When to use
When setting up a bioinformatics pipeline (such as HiC-Pro) that depends on multiple compiled or independently distributed binaries and you need to confirm that all required tools are installed, executable, meet version requirements (e.g., samtools ≥1.9), and can be located at runtime by the pipeline's configuration and execution steps.
When NOT to use
- The pipeline is already containerized (Docker/Singularity) and you are running it within that container — binary paths are pre-resolved by the container build.
- All required binaries are already manually installed in standard system locations (e.g., /usr/bin) and the pipeline successfully auto-detects them without configuration.
- You are using a pre-built conda lock file or manifest that guarantees binary availability — manual path resolution is not needed.
Inputs
- environment.yml or equivalent dependency specification file
- config-install.txt configuration file with tool path placeholders
- Pipeline source code directory
Outputs
- Activated conda environment with all dependencies installed
- Summary report documenting resolved tool paths, versions, and executability status
- config-system.txt or analogous generated configuration file with concrete tool paths
How to apply
Create a Conda environment from the pipeline's environment.yml specification file (e.g., using conda env create -f environment.yml -p /installation/path), then activate it and systematically verify each external tool: (1) check that the binary is in PATH and executable (e.g., which bowtie2); (2) confirm version constraints (e.g., samtools --version to verify ≥1.9); (3) for tools not included in the environment specification (such as iced, which is no longer part of HiC-Pro source), independently install from the upstream repository and verify importability in Python; (4) document all resolved paths, versions, and import status in a summary report. Use the pipeline's config-install.txt file to manually specify paths if automatic detection fails, and rely on the pipeline's built-in fallback mechanisms (which attempt automatic installation of bowtie2 and samtools if not detected in $PATH).
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.
- 8d ago First seen · 118 lines · 59 tokens per session scan A cc536a3888ac
bioinformatics-tool-binary-path-resolution is a skill published in the GitHub repository HolobiomicsLab/asb-skill-collections (15 stars, last pushed 2d ago), licensed Apache-2.0. It adds 59 tokens to every session and 2,357 once invoked, about $0.0003 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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