overcast-lineup

overcast-lineup is a skill for Claude Code from kdr/overcast. It costs 44 tokens per session (1,029 once invoked), scanned A, original, Apache-2.0.

A local face-matching workflow for case images and videos. It builds a browsable database of detected faces, then compares a probe photo with those faces and reports cited similarity scores.

In plain words
What is it for?
Use it to collect faces from case files, create a person lineup, and compare a suspect photo to identify possible matches and other appearances.
Why use it?
It lets investigators search faces across case media while keeping the media and database local to the case.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the overcast plugin — 35 skills, 1 hook shipped together

Good fit Use it to collect faces from case files, create a person lineup…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kdr/overcast/overcast-lineup
Install

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.

Any agent
npx skills add kdr/overcast --skill overcast-lineup
Clone the repo
git clone --depth 1 https://github.com/kdr/overcast

Made for: Claude Code.

Or install overcast, the plugin that ships this one along with the rest of its 35 skills, 1 hook.

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 overcast-lineup

README.md
[![agentmods](https://agentmods.dev/badge/skills/kdr/overcast/overcast-lineup.svg)](https://agentmods.dev/skills/kdr/overcast/overcast-lineup)
Your own site
<a href="https://agentmods.dev/skills/kdr/overcast/overcast-lineup"><img src="https://agentmods.dev/badge/skills/kdr/overcast/overcast-lineup.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,029 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00044 $0.01029
Opus 5 $0.00022 $0.00515
Sonnet 5 $0.00009 $0.00206
Haiku 4.5 $0.00004 $0.00103

Measured 7d ago against content hash b186a356231c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

overcast-lineup 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 7d 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.

skills/overcast-lineup/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

overcast-lineup

Use this skill when the task is "run this person through the database": accumulate every face across the case's clips and images into a local, browsable lineup, then identify a probe photo against it. Use the broad overcast skill and overcast/reference/verbs.md for exact flags. The whole DB is local — no media leaves the case.

Prerequisites

The lineup is deepface-only (clustering needs face embeddings the tinycloud face path doesn't expose). cluster runs the uv-managed visual-DB Python directly (via OC_VISUAL_DB_PY), so you do NOT need to bind the face provider — leave your profile's face binding untouched. Just prepare the Python once and stand up a face-cluster index:

overcast doctor --json                 # confirm uv + visual-db are ready
scripts/visual-db-uv.sh --face         # install OpenCV/DeepFace (once per machine)
overcast case init --json
overcast index create people --type face-cluster --local --json

Workflow

  1. Book every case video/image into the lineup — cluster add detects, embeds, and assign-or-creates each face into a person (nearest existing person above --min-similarity, else a new one):
overcast cluster add ./interview.mp4 --index <index-id> --json
overcast cluster add ./cctv-lobby.mp4 --index <index-id> --json
overcast cluster add ./mugshot.jpg --index <index-id> --json
  1. Open the lineup — a self-contained HTML contact sheet, one row per person:
overcast cluster view --index <index-id> --json     # add --no-open to only write the gallery
overcast cluster list --index <index-id> --json      # people + member counts
  1. Run a suspect photo through the database. cluster identify reports the most similar person (similarity 0–100) or flags the probe as a likely NEW person, and never writes to the DB:
overcast cluster identify ./suspect.jpg --index <index-id> --json
overcast cluster show <person-id> --index <index-id> --json   # inspect that person's member faces

Read the full file on GitHub · 93 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. 7d ago First seen · 93 lines · 44 tokens per session scan A b186a356231c

Subscribe to this mod's changes

overcast-lineup is a skill published in the GitHub repository kdr/overcast (16 stars, last pushed 4d ago), licensed Apache-2.0. It adds 44 tokens to every session and 1,029 once invoked, about $0.0002 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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