velocity.report: Skill for Claude Code

.claude/skills/research-briefing/SKILL.md

research-briefing is a skill for Claude Code from banshee-data/velocity.report. It costs 67 tokens per session (3,029 once invoked), scanned A, original, Apache-2.0.

A weekly research workflow for roadside LiDAR perception and the safety literature used with it. LiDAR is a laser-based sensing method; the workflow finds recent sources, compares them with the repository's benchmarks and rules, and commits a dated briefing with a verdict for each source.

In plain words
What is it for?
Use it to run a review for the last week or a chosen date range, assess a supplied briefing, and create a dated briefing on its own branch with a pull request.
Why use it?
It turns a recurring literature review into a defined process and records how each new source relates to existing research.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions Claude Code; mentions AGENTS.md.

This is banshee-data/velocity.report's own configuration. It tells Claude Code how to work on velocity.report itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything velocity.report configures →

Reuse

Borrowing it

Nothing to install: this file belongs to banshee-data/velocity.report. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/banshee-data/velocity.report/main/.claude/skills/research-briefing/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/banshee-data/velocity.report

Made for: Claude Code.

Wrote 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.

agentmods badge for research-briefing

README.md
[![agentmods](https://agentmods.dev/badge/skills/banshee-data/velocity.report/research-briefing/github.svg)](https://agentmods.dev/skills/banshee-data/velocity.report/research-briefing)
Your own site
<a href="https://agentmods.dev/skills/banshee-data/velocity.report/research-briefing"><img src="https://agentmods.dev/badge/skills/banshee-data/velocity.report/research-briefing/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.

agentmods 80×15 button for research-briefing

Your own site · 80×15
<a href="https://agentmods.dev/skills/banshee-data/velocity.report/research-briefing"><img src="https://agentmods.dev/badge/skills/banshee-data/velocity.report/research-briefing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,029 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00067 $0.03029
Opus 5.5 $0.00027 $0.01212
Sonnet 5.5 $0.00013 $0.00606
Haiku 4.5 $0.00007 $0.00303

Measured 26d ago against content hash 4184e7d0972f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

research-briefing scanned grade A with 1 finding 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 26d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Prefer the primary document. Try `WebFetch` first, then `curl` through the proxy into an empty
.claude/skills/research-briefing/SKILL.md · 227 lines

How it starts

The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: research-briefing

Discover what was published or newly surfaced in the week on roadside LiDAR perception and on the safety and behaviour literature the LiDAR analytics cite, evaluate each source against what the repository already holds, and commit one dated briefing on its own branch with a PR. The method is the one that found and judged the October 2026 sources: the Waymo sober-baseline and fatal-rate papers, Valgo's hosted crash baselines, the AAA Foundation attitudes and aggressive-driving reports, and FMCSA's handheld headway programme.

Usage

/research-briefing                              # the last 7 days, ending today
/research-briefing --since 2026-10-03           # a longer window
/research-briefing path/to/briefing.md          # also assess a supplied third-party briefing

The Monday routine "Weekly research briefing" invokes this skill in a fresh session with no arguments.

Procedure

1. Read the house rules first

AGENTS.md, TENETS.md, .github/STYLE.md and docs/platform/operations/documentation-standards.md. The output is one briefing and, where its own verdict says "adopted", a definitions paragraph, an evaluation-source row, a reference or an open question in the plan it affects. Nothing larger changes: anything larger is a proposal inside the briefing.

2. Window

Primary work published or first listed in the last 7 days (or since --since), plus older work newly surfaced this week: an agency project page updated, a preprint accepted, a dataset or API newly announced. Say which of the two a source is. If nothing new was published, say so in one sentence and still record what surfaced.

3. Scope

Two bodies of literature the project depends on:

  1. Roadside and infrastructure LiDAR perception: detection, clustering, tracking, extent and heading estimation, occlusion and fragmentation, multi-object identity, background modelling, calibration and ground-truth methods, and trajectory datasets (highD, inD, rounD, openDD, Waymo Open Motion, and any new one).
  2. The safety and behaviour literature the analytics cite: headway, following distance, clearance and net time gap, passage headway, post-encroachment time, time to collision, stop compliance, speed percentiles and p85 practice, speeding exposure and free-flow opportunity, crash involvement rates and exposure denominators (vehicle-miles, FARS, police-reported), sober and status-quo human baselines for automated-driving comparison, pedestrian impact-speed harm curves, speed-change crash models, and public attitudes to speeding and aggressive driving.

Read the full file on GitHub · 227 lines

Changes

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.

  1. 26d ago First seen · 227 lines · 67 tokens per session scan A 4184e7d0972f

Subscribe to this mod's changes

research-briefing is a skill published in the GitHub repository banshee-data/velocity.report (11 stars, last pushed today), licensed Apache-2.0. It adds 67 tokens to every session and 3,029 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-11.

Related

research-briefing compared with skills from other repositories

research-briefing next to 6 skills from other repositories
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