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 configuration-file-generation-and-templatinggit 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/configuration-file-generation-and-templating)<a href="https://agentmods.dev/skills/holobiomicslab/asb-skill-collections/configuration-file-generation-and-templating"><img src="https://agentmods.dev/badge/skills/holobiomicslab/asb-skill-collections/configuration-file-generation-and-templating/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/configuration-file-generation-and-templating"><img src="https://agentmods.dev/badge/skills/holobiomicslab/asb-skill-collections/configuration-file-generation-and-templating.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 | $0.00070 | $0.02108 |
| Opus 5 | $0.00035 | $0.01054 |
| Sonnet 5 | $0.00014 | $0.00422 |
| Haiku 4.5 | $0.00007 | $0.00211 |
Grade A, and why
configuration-file-generation-and-templating 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 11d 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
configuration-file-generation-and-templating
Summary
Generate environment-specific configuration files by reading user-editable templates, detecting installed dependencies via system PATH queries, validating version requirements, and locking the final config to prevent accidental modification during pipeline execution. This skill ensures HiC-Pro and similar multi-tool pipelines can adapt to diverse cluster and installation environments without manual binary path management.
When to use
When deploying a complex bioinformatics pipeline (like HiC-Pro) across heterogeneous computing environments where required tools (bowtie2, samtools, R, Python) may be installed in non-standard locations, differ in version, or require scheduler-specific configuration (TORQUE, SGE, SLURM, LSF). Use this skill during initial setup or reconfiguration when dependencies must be auto-detected or user-specified, and their paths must be reliably recorded for all downstream workflow steps.
When NOT to use
- Pipeline is already configured and config-system.txt exists and is locked — re-running configuration generation may conflict with active job submissions.
- All required tools are provided pre-containerized (Docker, Singularity, conda environment) — configuration file generation is redundant if the container already bundles all binaries with fixed paths.
- User requires manual control over tool selection or version pinning per workflow step — this skill generates a single locked config that applies uniformly to all steps.
Inputs
- config-install.txt template file with placeholder paths and cluster scheduler type
- system $PATH environment variable
- user-edited config-install.txt (optional; may contain explicit tool paths)
Outputs
- config-system.txt locked configuration file with resolved paths for all dependencies
- installed bowtie2 and samtools binaries (if auto-installation was triggered)
- validated Python, R, and tool environment ready for 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.
- 11d ago First seen · 112 lines · 70 tokens per session scan A b932d8f49b33
configuration-file-generation-and-templating is a skill published in the GitHub repository HolobiomicsLab/asb-skill-collections (15 stars, last pushed today), licensed Apache-2.0. It adds 70 tokens to every session and 2,108 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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