Borrowing it
Nothing to install: this file belongs to morluto/jacobian. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/morluto/jacobian/main/.agents/skills/harbor-benchmarks/SKILL.mdgit clone --depth 1 https://github.com/morluto/jacobianWrote 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/morluto/jacobian/harbor-benchmarks)<a href="https://agentmods.dev/skills/morluto/jacobian/harbor-benchmarks"><img src="https://agentmods.dev/badge/skills/morluto/jacobian/harbor-benchmarks/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/morluto/jacobian/harbor-benchmarks"><img src="https://agentmods.dev/badge/skills/morluto/jacobian/harbor-benchmarks.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 | $0.00022 | $0.00553 |
| Opus 5 | $0.00011 | $0.00277 |
| Sonnet 5 | $0.00004 | $0.00111 |
| Haiku 4.5 | $0.00002 | $0.00055 |
Grade A, and why
harbor-benchmarks 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 3d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Harbor Benchmarks
Build a bounded mathematical experiment with a hidden, replayable verifier. Jacobian availability is an experimental condition, not a prerequisite for task admission. Task correctness depends on the submitted mathematics, not the agent's tool choices or transcript.
Choose the artifact
- Put meaningful agent-facing mathematical tasks with replayable outcomes in Harbor, including capability gaps and tool-free baselines.
- Put provider/environment feasibility spikes under
tests/fixtures/providers/. - Keep public known-answer regressions and human-reviewed proof corpora separate from held-out comparative scoring.
For submission design, mathematical predicates, scoring, or verifier repairs,
use verifier-evaluations. Ordinary packaging and execution do not require that
skill. A task's instruction and schema must expose its complete protocol while
keeping solutions, Oracle fixtures, verifier code, and host caches hidden.
Package and validate
Each task is a direct dataset child with one member record:
benchmarks/datasets/<dataset>/<task-id>/
benchmarks/datasets/<dataset>/members/<task-id>.toml
Use frozen offline inputs, pinned images and dependencies, and an explicit
execution profile. Verifier Dockerfiles build from tests/; avoid parent
COPY, host paths, floating tags, and symlinks. For the affected contract, use
benchmark contracts.
For local commands and planner selection, use the Harbor section of
CONTRIBUTING.md.
make harbor-plan BASE=origin/main
make harbor-prepare-task DATASET=<dataset> TASKS="<task-id>"
make harbor-validate-task DATASET=<dataset> TASKS="<task-id>"
Preparation formats selected task Python and refreshes contracts/checksums; validation runs the selected static, host, and Oracle checks without a model agent. Run the selected verifier's behavioral attacks when its contract changes. Report any deferred affected Oracle coverage.
What ships with it
2 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.
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.
- 3d ago Changed · -135 lines · -26 tokens per session 88ab91954e00
- 9d ago First seen · 197 lines · 48 tokens per session scan A 78037c6ef7cb
harbor-benchmarks is a skill published in the GitHub repository morluto/jacobian (188 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 553 once invoked, about $0.0001 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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