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 shell-environment-variable-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/shell-environment-variable-resolution)<a href="https://agentmods.dev/skills/holobiomicslab/asb-skill-collections/shell-environment-variable-resolution"><img src="https://agentmods.dev/badge/skills/holobiomicslab/asb-skill-collections/shell-environment-variable-resolution/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/shell-environment-variable-resolution"><img src="https://agentmods.dev/badge/skills/holobiomicslab/asb-skill-collections/shell-environment-variable-resolution.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00054 | $0.01788 |
| Opus 5 | $0.00027 | $0.00894 |
| Sonnet 5 | $0.00011 | $0.00358 |
| Haiku 4.5 | $0.00005 | $0.00179 |
Grade A, and why
shell-environment-variable-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 6d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
shell-environment-variable-resolution
Summary
Automatically detect and resolve binary tool paths by querying the system $PATH environment variable when explicit paths are not provided in a configuration file. This skill enables pipeline setup to gracefully fall back to system-wide tool discovery, reducing manual configuration burden while maintaining the option for explicit path overrides.
When to use
Use this skill during pipeline installation or initialization when you need to locate required external binaries (e.g., bowtie2, samtools, R, Python) but the user has not explicitly provided their installation paths in a configuration file. Apply it when you want to support both automated and manual tool discovery, allowing users to either edit a config file with explicit paths or rely on standard system PATH lookups.
When NOT to use
- User has explicitly specified all tool paths in the configuration file and you are certain they are correct—direct use of the provided paths is more efficient than redundant PATH searching.
- The target environment does not use standard Unix $PATH conventions (e.g., embedded systems, containers with atypical path layouts) where 'which' will not work reliably.
- Pipeline execution has already begun and configuration is locked—re-resolving paths after initialization may corrupt running jobs or introduce inconsistency.
Inputs
- Configuration template file with placeholder entries (e.g., config-install.txt with PREFIX, BOWTIE2_PATH, SAMTOOLS_PATH, R_PATH, PYTHON_PATH, CLUSTER_SYS)
- System environment variables, particularly $PATH
- Shell environment context (access to 'which' command)
Outputs
- Environment-specific configuration file with resolved tool paths (e.g., config-system.txt)
- Read-only locked configuration file
- Binary discovery log or report (implicit)
How to apply
First, read the user-provided configuration file (e.g., config-install.txt) and identify which tool paths have been left unset or blank. For each unset path entry, use the shell 'which' command to search the system $PATH for the corresponding binary (e.g., 'which bowtie2', 'which samtools'). If a tool is not found in $PATH, flag it for automatic installation if supported (bowtie2 and samtools ≥1.9 can be auto-installed). After discovery or installation, validate that found/installed versions meet minimum requirements (e.g., samtools ≥1.9, Python >3.7). Compile all resolved paths—whether user-specified or auto-discovered—into a new, environment-specific configuration file (e.g., config-system.txt) with structured entries for each dependency. Finally, lock the generated configuration file as read-only to prevent accidental modification during pipeline execution.
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.
- 6d ago First seen · 109 lines · 54 tokens per session scan A 5944f588840e
shell-environment-variable-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 54 tokens to every session and 1,788 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 2026-09-06.
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