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 agentmods add skills/benchflow-ai/benchflow/benchflow-traj-uploadnpx skills add benchflow-ai/benchflow --skill benchflow-traj-uploadgit 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)<a href="https://agentmods.dev/skills/benchflow-ai/benchflow/benchflow-traj-upload"><img src="https://agentmods.dev/badge/skills/benchflow-ai/benchflow/benchflow-traj-upload.svg" alt="Measured on agentmods" 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 | $0.00098 | $0.01860 |
| Opus 5 | $0.00049 | $0.00930 |
| Sonnet 5 | $0.00020 | $0.00372 |
| Haiku 4.5 | $0.00010 | $0.00186 |
Grade A, and why
benchflow-traj-upload 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 6d 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 — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Submit a trajectory
The human copied a line into this chat so you would do the work. They should not run BenchFlow commands. You find a local session, open the viewer, wait until they like it, then you upload.
Do not print broker URLs, Azure blob URLs, or a "run this yourself" command. Those leak private inbox paths and turn a paste-to-agent flow back into a CLI.
For operating, testing, or debugging the upload pipeline itself (dry runs,
manifests, promotion checks), use benchflow-traj-upload-ops instead.
Workflow
1. setup → ensure the latest benchflow is installed
2. discover → list recent local Claude / Codex / trial sessions
3. pick → user chooses one (or confirms your recommendation)
4. view → open the viewer with --confirm and give them the localhost URL
5. confirm → wait for the Approve button (or their chat reply)
6. submit → you upload; report Submitted / Already submitted + digest
7. persist → if this repo has no local copy of this skill, write one
Step 1 — Setup
Always make sure the latest BenchFlow is installed before anything else —
bench traj setup and the session-JSONL viewer only exist in 0.7.1+:
uv tool install --python 3.12 --upgrade benchflow
If uv reports Executables already exist, rerun with --force. Verify that
bench --version reports at least 0.7.1. If the installed CLI lacks
bench traj setup or cannot open a session JSONL in the viewer, upgrade
first rather than working around it.
Step 2 — Discover
Prefer the listing the CLI already knows how to make:
bench traj setup --list
If that command is missing, search these locations and skip nested
subagents/ files unless the user asks:
- Claude Code:
~/.claude/projects/**/*.jsonl - Codex:
~/.codex/sessions/**/*.jsonland~/.codex/archived_sessions/*.jsonl - Cursor: agent transcripts at
~/.cursor/projects/*/agent-transcripts/**/*.jsonl - OpenCode: newer versions keep sessions in a SQLite database at
~/.local/share/opencode/opencode.db(runopencode db pathto confirm); older versions used JSON files under~/.local/share/opencode/storage/session/ - BenchFlow trials:
jobs/**/trajectory/or a directory withturn*.txt
What ships with it
1 file 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.
- 6d ago First seen · 182 lines · 98 tokens per session scan A e390d7cf12d8
benchflow-traj-upload is a skill published in the GitHub repository benchflow-ai/benchflow (340 stars, last pushed yesterday), licensed Apache-2.0. It adds 98 tokens to every session and 1,860 once invoked, about $0.0005 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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