overcast-enhance-and-resolve

overcast-enhance-and-resolve is a skill for Claude Code from kdr/overcast. It costs 51 tokens per session (956 once invoked), scanned A, original, Apache-2.0.

A workflow for making unclear video footage easier to inspect, then checking the improved footage for text or objects. OCR means reading text from images, while provenance records how a result was obtained.

In plain words
What is it for?
It is for resolving details such as licence plates, faces, and on-screen text by selecting a video moment, enhancing it, running text or object detection, and recording the result.
Why use it?
It helps investigate small or noisy details while making clear that an enhanced image can suggest an answer but cannot prove one.

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 It is for resolving details such as licence plates, faces, and on-screen text by selecting a video moment, enhancing it, running text or object detection, and recording the result.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/kdr/overcast/overcast-enhance-and-resolve/github.svg)](https://agentmods.dev/skills/kdr/overcast/overcast-enhance-and-resolve)
Your own site
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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 overcast-enhance-and-resolve

Your own site · 80×15
<a href="https://agentmods.dev/skills/kdr/overcast/overcast-enhance-and-resolve"><img src="https://agentmods.dev/badge/skills/kdr/overcast/overcast-enhance-and-resolve.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 956 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 $0.00051 $0.00956
Opus 5 $0.00026 $0.00478
Sonnet 5 $0.00010 $0.00191
Haiku 4.5 $0.00005 $0.00096

Measured 10d ago against content hash dbacffba31d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

overcast-enhance-and-resolve 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 10d 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-enhance-and-resolve/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

overcast-enhance-and-resolve

Use this skill for the "zoom in… enhance" task: a plate, a face, or on-screen text is too small or noisy to read, and you need to recover it and cite it honestly. Use the broad overcast skill and overcast/reference/verbs.md for exact flags.

Workflow

  1. Ingest the raw clip and pin the moment worth resolving:
overcast doctor --json
overcast case init --json
overcast watch ./raw.mp4 --json
overcast note "plate unreadable, want to resolve" --ref <watch-record-id> --at 41-44 --json
  1. Enhance that segment. The bundled ffmpeg ops are denoise, normalize, voice-isolate, upscale, stabilize, grayscale; the enhanced file comes back as a media.enhanced record you chain forward:
overcast enhance ./raw.mp4 --ops denoise,upscale,stabilize --json
  1. Re-read the enhanced output. --ocr recovers text (a caption/OCR record, no boxes); --detect locates a region and needs a bound detector (bind OWLv2 as the see provider first) — it produces the record with boxes that crop cuts from:
overcast see frame://<enhanced-record-id>@<seconds> --ocr --json                 # -> <ocr-record-id> (text, no boxes)
scripts/visual-db-uv.sh --detect     # once: uv-installs torch+transformers+scipy, prints DETECT_PY
export DETECT_PY="$DETECT_PY"; overcast provider setup apply --preset owl-local --yes --json  # owl-local persists a portable shipped: ref for detect.py + uses $DETECT_PY (the venv python; system python3 lacks the deps)
overcast see frame://<enhanced-record-id>@<seconds> --detect "license plate, text" --json  # -> <detect-record-id> (boxes)
  1. Materialize the resolved region as durable cropped evidence — crop the --detect record (the --ocr record has no boxes to crop):
overcast crop <detect-record-id> --all --class "license plate" --pad 0.15 --square --json
  1. Record what was recovered with its provenance. State the ops applied and the source record in the finding, keep a before/after note pair, and cite both the raw and enhanced record.id:

Read the full file on GitHub · 79 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. 10d ago First seen · 79 lines · 51 tokens per session scan A dbacffba31d0

Subscribe to this mod's changes

overcast-enhance-and-resolve is a skill published in the GitHub repository kdr/overcast (16 stars, last pushed 7d ago), licensed Apache-2.0. It adds 51 tokens to every session and 956 once invoked, about $0.0003 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.