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 still-image-retouching-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/still-image-retouching-finishing)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/still-image-retouching-finishing"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/still-image-retouching-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/still-image-retouching-finishing"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/still-image-retouching-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 | $0.00130 | $0.07305 |
| Opus 5 | $0.00065 | $0.03653 |
| Sonnet 5 | $0.00026 | $0.01461 |
| Haiku 4.5 | $0.00013 | $0.00730 |
Grade A, and why
still-image-retouching-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 12d 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 — 404 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Still Image Retouching and Finishing
This skill is for finishing existing still images. It assumes there is a captured, scanned, rendered, or composited source image and that the agent's job is to make production decisions about development, retouching, color, metadata, output, and review. It is tool-agnostic: Lightroom, Camera Raw, Capture One, Darktable, RawTherapee, Affinity Photo, Photoshop, GIMP, command-line processors, DAM systems, RIP software, and lab portals are possible instruments, but the skill's decisions are about craft and delivery rather than any one vendor.
Use it for:
- RAW intake, rendered-file intake, selects, versioning, sidecars, and handoff notes.
- Nondestructive development: exposure, white balance, tone mapping, lens corrections, local masks, snapshots, proof copies, layers, smart objects, adjustment stacks, and reversible repair.
- Color-managed finishing: working spaces, embedded profiles, monitor profiling, ICC soft proofing, rendering intents, output profiles, print proofing, and web/social conversions.
- Retouching: dust, sensor spots, blemishes, flyaways, fabric wrinkles, product cleanup, architecture perspective, food freshness, documentary limits, compositing cleanup, and client/legal review.
- Generative fill or AI repair decisions only as post-production interventions on existing stills, including disclosure, provenance, and rights notes.
- Sharpening, noise reduction, resampling, crop variants, batch consistency, metadata, accessibility metadata, export recipes, QA, and archive/delivery packages.
Do not use it for:
- Generating new images from prompts as the primary task.
- Choosing or integrating image-generation APIs.
- Video color grading, motion retouching, VFX shot work, or frame-by-frame video finishing.
- Campaign concepting, art direction, casting, styling, media buying, or platform growth strategy except where those affect still-image finishing constraints.
Grounded Facts
These are documented facts, not taste preferences.
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.
- 12d ago First seen · 404 lines · 130 tokens per session scan A eb609ddab365
still-image-retouching-finishing is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 130 tokens to every session and 7,305 once invoked, about $0.0006 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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