benchflow-traj-upload-ops SKILL.md skillA

benchflow-traj-upload-ops from benchflow-ai/benchflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add benchflow-ai/benchflow/benchflow-traj-upload-ops@git:20260816.b67af9e

Pins git:20260816.b67af9e in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
benchflow-ai/benchflow
Path
.agents/skills/benchflow-traj-upload-ops/SKILL.md
Versions recorded
1
Latest version
git:20260816.b67af9e, committed Aug 16, 2026
Size
4,325 bytes
Repository stars
359
License
Apache-2.0

Operate, test, troubleshoot, and explain `bench traj upload` for public or trusted-direct trajectory contributions, including interactive and fully specified commands, dry runs, input validation, local secret masking, trajectory reports and previews, manifest metadata, upload progress, idempotency, and production promotion checks. Use this skill when a maintainer or operator wants to test, inspect, or debug a trajectory upload; validate a trajectory, report, or manifest; or verify the public…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 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](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:

```bash
uv tool install --python 3.12 --upgrade benchflow
bench traj upload
```

Use the repository checkout when validating unreleased PR behavior:

```bash
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:

```bash
bench traj upload
```

The CLI asks for the path, renders a report from a locally redacted staging
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add benchflow-ai/benchflow/benchflow-traj-upload-ops@sha256:a4a7f1d562d3d588

The line at the top of this page pins the label git:20260816.b67af9e, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_vey5riseuhiz7nfi.svg)](https://markdownregistry.com/a/art_vey5riseuhiz7nfi)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Aug 16, 2026.

versioncommittedcommitsizeaudit
git:20260816.b67af9e latest2026-08-16 b67af9e 4,325 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4325 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

benchflow-ai/benchflow · 359 stars · license Apache-2.0 · pushed 2026-10-30 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_vey5riseuhiz7nfi
GET https://markdownregistry.com/api/v1/resolve?ref=benchflow-ai/benchflow/benchflow-traj-upload-ops
GET https://markdownregistry.com/api/v1/blob/a4a7f1d562d3d588d7b764db1f60d55496465496c9725fd2a9489cbb9428afa5

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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