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 agentlas-ai/agentlas-desktop --skill gtarsgit clone --depth 1 https://github.com/agentlas-ai/agentlas-desktopWrote 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/agentlas-ai/agentlas-desktop/gtars)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/gtars"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/gtars/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/agentlas-ai/agentlas-desktop/gtars"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/gtars.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 | $0.00046 | $0.03309 |
| Opus 5.5 | $0.00018 | $0.01324 |
| Sonnet 5.5 | $0.00009 | $0.00662 |
| Haiku 4.5 | $0.00005 | $0.00331 |
Grade A, and why
gtars 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 1mo 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.
This is a copy
88% identical to gtars — 92 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gtars
Gtars provides native Rust implementations, Python bindings, and a feature-gated
gtars binary for genomic interval and reference-sequence work. Start with the
bundled local inspectors; call upstream code only after the data contract,
provenance, resource bounds, and side effects are explicit.
Verified snapshot (2026-07-23)
- Python:
gtars==0.9.2, released 2026-06-17,Requires-Python >=3.10. - Rust meta-crate:
gtars=0.9.0, released 2026-06-15. Its default feature set is empty. - CLI crate/binary:
gtars-cli=0.9.0; the installed binary is namedgtars. - Direct refget crate:
gtars-refget=0.9.1, released 2026-06-17.gtars=0.9.0itself pins its component release set, which includes refget 0.9.0. - Upstream intentionally versions workspace crates, Python bindings, and CLI independently. Do not assume matching numbers mean matching artifacts.
- The published docs changelog stops at 0.5.1. API examples here were checked
against the 0.9.2 Python stubs/runtime and the
v0.9.0CLI/Rust source.
The license: MIT field covers this skill. Published gtars crates declare MIT,
while the GitHub repository currently displays BSD-2-Clause at the root; verify
the exact artifact's license before redistribution.
Native-code trust gate and exact pins
The Python wheel contains a PyO3 native extension. Cargo installation compiles a native binary and can run dependency build scripts. Treat either path as code execution:
- Confirm the official PyPI/crates.io/GitHub owner and immutable version.
- Review filenames, platform tags, release provenance, license, and SHA-256.
GitHub's v0.9.0 binary release includes per-archive
.sha256sidecars. - Never run an untrusted prebuilt binary, wheel, source tree, Cargo build script, or archive installer. Use isolation and CPU/RAM/disk/time limits.
- Keep a lockfile and artifact hashes with the analysis manifest.
What ships with it
14 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/cli.md 9.7 KB
- references/coverage.md 7.5 KB
- references/overlap.md 7.3 KB
- references/python-api.md 9.4 KB
- references/refget.md 10 KB
- references/tokenizers.md 8.0 KB
- scripts/__init__.py 57 B runs code
- scripts/_common.py 15 KB runs code
- scripts/artifact_inspector.py 11 KB runs code
- scripts/bed_validator.py 5.3 KB runs code
- scripts/coverage_preflight.py 8.1 KB runs code
- scripts/execution_plan.py 12 KB runs code
- scripts/refget_digest_plan.py 11 KB runs code
- scripts/tokenizer_manifest.py 8.4 KB runs code
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.
- 1mo ago First seen · 300 lines · 46 tokens per session scan A 1afe0002e97d
gtars is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 46 tokens to every session and 3,309 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to gtars, differing in 92 lines, and is treated as a copy.
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