Borrowing it
Nothing to install: this file belongs to benchflow-ai/benchflow. 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/benchflow-ai/benchflow/main/.agents/skills/benchflow-traj-upload-ops/SKILL.mdgit clone --depth 1 https://github.com/benchflow-ai/benchflowWrote 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/benchflow-ai/benchflow/benchflow-traj-upload-ops)<a href="https://agentmods.dev/skills/benchflow-ai/benchflow/benchflow-traj-upload-ops"><img src="https://agentmods.dev/badge/skills/benchflow-ai/benchflow/benchflow-traj-upload-ops/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/benchflow-ai/benchflow/benchflow-traj-upload-ops"><img src="https://agentmods.dev/badge/skills/benchflow-ai/benchflow/benchflow-traj-upload-ops.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 | $0.00125 | $0.00927 |
| Opus 5.5 | $0.00050 | $0.00371 |
| Sonnet 5.5 | $0.00025 | $0.00185 |
| Haiku 4.5 | $0.00013 | $0.00093 |
Grade A, and why
benchflow-traj-upload-ops 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.
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Operate BenchFlow trajectory uploads
Use the public contribution route for ordinary users. Treat --direct as a
trusted-operator escape hatch, not as an equivalent public-path test.
Read references/cli-contract.md before explaining non-default modes, troubleshooting a failure, reviewing a generated manifest, or claiming an end-to-end production result. The reference is the complete behavior contract for the current CLI.
Choose the matching CLI build
Use the released CLI when validating the published user experience:
uv tool install --python 3.12 --upgrade benchflow
bench traj upload
Use the repository checkout when validating unreleased PR behavior:
uv sync --extra dev --locked
uv run bench traj upload
Do not substitute the installed bench binary for uv run bench while testing
unreleased code. Record bench --version or the exact Git SHA so the tested
artifact is unambiguous.
Run the requested flow
Prefer the guided flow when a person wants to inspect and confirm the capture:
bench traj upload
The CLI asks for the path, renders a report from a locally redacted staging
copy, asks for missing GitHub and email metadata (after trying gh / git
inference), and defaults the upload confirmation to No.
Use the fully specified form for scripts or an intentional no-prompt upload:
bench traj upload <PATH> --github-id <GITHUB_ID> --email <EMAIL>
Providing all three required inputs makes the command non-interactive: it still
renders the report, then uploads without a confirmation prompt. If any one is
missing, the session is interactive and asks only for missing values before a
final confirmation. Identity that resolves through gh / git inference also
skips the confirmation; without a TTY, unresolved identity fails with the
one-line --github-id / --email fallback instead of hanging on a prompt.
Use a dry run before a real upload when testing new files or CLI changes:
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.
- 1mo ago First seen · 100 lines · 125 tokens per session scan A a4a7f1d562d3
benchflow-traj-upload-ops is a skill published in the GitHub repository benchflow-ai/benchflow (355 stars, last pushed 7d ago), licensed Apache-2.0. It adds 125 tokens to every session and 927 once invoked, about $0.0005 per session on Opus 5.5. 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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