Borrowing it
Nothing to install: this file belongs to dork-labs/dorkos. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dork-labs/dorkos/main/.agents/skills/capturing-product-media/SKILL.mdgit clone --depth 1 https://github.com/dork-labs/dorkosWrote 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/dork-labs/dorkos/capturing-product-media)<a href="https://agentmods.dev/skills/dork-labs/dorkos/capturing-product-media"><img src="https://agentmods.dev/badge/skills/dork-labs/dorkos/capturing-product-media/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/dork-labs/dorkos/capturing-product-media"><img src="https://agentmods.dev/badge/skills/dork-labs/dorkos/capturing-product-media.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 | $0.00104 | $0.04213 |
| Opus 5 | $0.00052 | $0.02107 |
| Sonnet 5 | $0.00021 | $0.00843 |
| Haiku 4.5 | $0.00010 | $0.00421 |
Grade A, and why
capturing-product-media 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.
How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Capturing Product Media
DorkOS product media is a general system: one shot registry (apps/e2e/capture/shots.ts) feeding the marketing site, docs, and changelogs, from real UI rendering seeded demo data — never mockups, never doctored screenshots. Automated captures can be beaten by human overrides, and any published set can be frozen into a versioned archive. This skill is the map: the registry, the phases, overrides, archives, docs embeds, the honesty rules, and how to add a shot.
When To Use
- The UI changed and a screenshot or loop on the site or docs now looks stale or wrong.
- A new feature needs a "money shot" (hero still or animated loop) on
/features, or a docs page needs an embedded<ProductShot>. - A person wants to override an automated capture with hand-captured media.
- A release calls for a fresh capture or a frozen archive of the shots its notes embed.
- A media-guard test (
features.test.tsorshots.test.ts) fails because an asset or registry entry is missing.
Commands
pnpm --filter @dorkos/e2e capture # record + process (the full refresh)
pnpm --filter @dorkos/e2e capture:record # boot + drive + save raws to the library
pnpm --filter @dorkos/e2e capture:record --shards N # same, but record on N parallel isolated stacks
pnpm --filter @dorkos/e2e capture:process [run-id] # edit raws + apply overrides → product/ (default: latest)
pnpm --filter @dorkos/e2e capture:archive <label> # freeze the current published set under archive/<label>/
pnpm --filter @dorkos/e2e test # unit tests: registry, partition, aspect guard, override discovery
--shards N (parallel record) splits the shots across N fully isolated stacks — each its own DORK_HOME (~/.dork-capture for shard 0, ~/.dork-capture-<i> after), server/Vite port pair (4344/4343 + i×10), and browser — recorded at the same time, then merged into one run. The process phase is unchanged: a serial run and a sharded run produce the same published asset set. Default is 1 (the serial path). Reach for it to shorten a full re-record when the box has spare cores; 2 shards is the reliable win, and returns fall off past that once per-shard boot+seed overhead dominates. --shards also works on capture (only the record phase parallelizes). Details: apps/e2e/capture/README.md (Parallel capture).
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.
- 10d ago First seen · 129 lines · 104 tokens per session scan A c6c787c0bd1d
capturing-product-media is a skill published in the GitHub repository dork-labs/dorkos (9 stars, last pushed today), licensed MIT. It adds 104 tokens to every session and 4,213 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 2026-08-31.
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