overcast-provenance

overcast-provenance is a skill for Claude Code from kdr/overcast. It costs 42 tokens per session (1,110 once invoked), scanned A, original, Apache-2.0.

A research workflow for finding where a suspicious or widely shared video clip first appeared and who originally posted it. It uses clip metadata and distinctive video frames to trace earlier copies.

In plain words
What is it for?
Use it to investigate viral clips, identify the earliest known upload, and produce a cited conclusion about the clip’s provenance.
Why use it?
It separates a clip’s origin from the separate question of whether someone altered it. This helps avoid treating a recent repost or copy as the original source.

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 investigate viral clips, identify the earliest known upload, and produce a cited conclusion about the clip’s provenance.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/kdr/overcast/overcast-provenance.svg)](https://agentmods.dev/skills/kdr/overcast/overcast-provenance)
Your own site
<a href="https://agentmods.dev/skills/kdr/overcast/overcast-provenance"><img src="https://agentmods.dev/badge/skills/kdr/overcast/overcast-provenance.svg" alt="Measured on agentmods" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,110 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00042 $0.01110
Opus 5 $0.00021 $0.00555
Sonnet 5 $0.00008 $0.00222
Haiku 4.5 $0.00004 $0.00111

Measured 8d ago against content hash 4dc6b40eee0d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

overcast-provenance 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 8d 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-provenance/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

overcast-provenance

Use this skill to answer "is this clip real / where did it come from?": given a suspect video, find the oldest copy and who posted it first. It is the inverse of overcast-copycat-sweep — searching backward toward the origin rather than forward for rips — and reuses its geometry-gating and verdict conventions. This skill answers WHERE a clip came from (origin / earliest copy); for whether it was ALTERED (manipulation/authenticity — C2PA, EXIF re-save, ELA overlays, a shadow check) use the complementary overcast-verify-media. Origin and authenticity are distinct, non-overlapping questions — the leading verify/exif pass below establishes provenance signals, not a fakery verdict. Use the broad overcast skill and overcast/reference/verbs.md for exact flags.

Workflow

  1. Check embedded provenance FIRST, then fingerprint the suspect clip. C2PA Content Credentials (verify) and EXIF capture metadata (exif) are the most direct origin evidence when present — a signed manifest names the creator + edit history. They're often stripped on re-upload, so also fingerprint distinctive frames (which survive the re-encodes, crops, and watermarks that defeat exact hashes AND that strip metadata):
overcast doctor --sources --json
overcast case init --json
overcast verify ./suspect.mp4 --json         # C2PA / Content Credentials: signer + edit manifest (needs c2patool)
overcast exif ./suspect.mp4 --json           # capture device/time, editing software, GPS (needs exiftool)
overcast watch ./suspect.mp4 --json          # content + transcript into memory
overcast index create origin --type image-ransac --local --json
overcast image add ./distinctive-frame.png --index <index-id> --json
  1. Reverse-image-search the frames and sweep sources with topic keywords — crucially with NO --since floor, since older results sit closer to the origin:
overcast source add "lens:./distinctive-frame.png" --json
overcast source add "x:video:<topic keywords>" --json
overcast source add "youtube:search:<topic keywords>" --json
overcast source add "web:<topic keywords>" --json
overcast scan --limit 20 --json

Read the full file on GitHub · 91 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. 8d ago First seen · 91 lines · 42 tokens per session scan A 4dc6b40eee0d

Subscribe to this mod's changes

overcast-provenance is a skill published in the GitHub repository kdr/overcast (16 stars, last pushed 5d ago), licensed Apache-2.0. It adds 42 tokens to every session and 1,110 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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