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 skills add calesthio/generative-media-skills --skill color-grading-finishinggit clone --depth 1 https://github.com/calesthio/generative-media-skillsWrote 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/calesthio/generative-media-skills/color-grading-finishing)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/color-grading-finishing"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/color-grading-finishing/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.
<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/color-grading-finishing"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/color-grading-finishing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00093 | $0.05208 |
| Opus 5 | $0.00046 | $0.02604 |
| Sonnet 5 | $0.00019 | $0.01042 |
| Haiku 4.5 | $0.00009 | $0.00521 |
Grade A, and why
color-grading-finishing 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 13d 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 — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Color grading and finishing direction
Use this skill to guide the color and finishing stage of a video project, whether the material is fully AI-generated, camera-originated, motion graphics, screen capture, avatar footage, product renders, or a mixed-source edit.
Treat color as both a technical pipeline and a storytelling surface. A good finish makes shots belong together, preserves required colors, supports the intended emotion, survives compression and platform conversion, and gives downstream editors/compositors unambiguous instructions.
Start by separating the job
Before proposing fixes, classify the work into three layers:
- Color correction: normalize the image so shots are usable and consistent. Balance exposure, white balance, black/white points, contrast, saturation, and obvious color casts. Documented fact: Blackmagic describes balancing color as the first correction step, using primary tools to adjust brightness and levels and remove unwanted tints before creative grading begins (Blackmagic Design Resolve Color page, verified 2026-07-10).
- Color grading: create the intended look after the material is technically balanced. Shape mood, palette, contrast style, warmth/coolness, density, texture, highlight behavior, and scene-to-scene emotional progression.
- Finishing: prepare the final master for review and delivery. Check legal/video levels, gamut, color tags, SDR/HDR target, accessibility contrast, caption/graphic readability, compression resilience, safe areas, artifact repair, and handoff materials.
Do not call a creative look "correction" when it intentionally changes color. Do not hide a technical mismatch behind a look; a stylized grade still needs matched shots and a valid delivery transform.
State evidence quality in your output
When giving color direction, separate:
- Documented facts: standards, platform specs, delivery targets, official tool behavior, or measured QC results. Cite or name the source when consequential.
- Empirical observations: what you saw in the current footage, frames, scopes, test encodes, or reference stills.
- Production heuristics: practical choices that often work, but are not universal rules.
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.
- 13d ago First seen · 290 lines · 93 tokens per session scan A 3e45c144aab8
color-grading-finishing is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 93 tokens to every session and 5,208 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.
Other skills, from other repositories
cliptalk-cover-director
Produces evidence-backed cover candidates and reviewable cover variants for a ClipTalk video. Use when the user asks for a cover, poster frame, thumbnail, or multiple cover directions; do not use for timeline editing or social-video reframing.
cliptalk-smart-reframe
Creates a subject-aware, time-varying crop track and a review-only social-format preview from an accepted ClipTalk cut. Use for automatic vertical, square, or portrait reframing; do not use for a fixed manual crop or before content editing is accepted.
cliptalk-content-extractor
Locates and assembles source passages matching a semantic request. Use for extracting explanations, topics, quotes, demonstrations, or other specifically described content.
cliptalk-interview-editor
Produces a coherent interview edit by combining speaker discovery, topic selection, dialogue context, cleanup, subtitles, and preview. Use for interviews, podcasts, testimonials, or question-and-answer recordings.
cliptalk-shortform-hook-director
Finds and assembles a reviewable short-form cut with a strong opening hook. Use for Shorts, Reels, social clips, talking-head cutdowns, or requests for a punchier opening.
cliptalk-social-reframe-exporter
Creates a review-only 9:16, 4:5, 1:1, or 16:9 version from an existing accepted ClipTalk cut, then checks the rendered preview. Use only when a cut already exists and the user asks to adapt it for Shorts, Reels, Douyin, Xiaohongshu, WeChat Channels, or square feeds; do not use when the user still needs content found…