Borrowing it
Nothing to install: this file belongs to whistlegraph/aesthetic-computer. 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/whistlegraph/aesthetic-computer/main/.claude/skills/reading/SKILL.mdgit clone --depth 1 https://github.com/whistlegraph/aesthetic-computerWrote 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/whistlegraph/aesthetic-computer/reading)<a href="https://agentmods.dev/skills/whistlegraph/aesthetic-computer/reading"><img src="https://agentmods.dev/badge/skills/whistlegraph/aesthetic-computer/reading/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/whistlegraph/aesthetic-computer/reading"><img src="https://agentmods.dev/badge/skills/whistlegraph/aesthetic-computer/reading.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00103 | $0.01536 |
| Opus 5.5 | $0.00041 | $0.00614 |
| Sonnet 5.5 | $0.00021 | $0.00307 |
| Haiku 4.5 | $0.00010 | $0.00154 |
Grade A, and why
reading 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 2mo 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
reading → AC Readings podcast
Turns an essay (papers/essay-*/*.tex or opinion/*.md) into a published
episode. Tooling lives in marketing/podcast/bin/. Voice is jeffrey-pvc via
/api/say (hash-cached, so re-runs are cheap).
Guardrails (read first)
- Publish allowlist. Only publish essays @jeffrey has cleared. NEVER publish
the REGARDE-adjacent reading
named-markets("The Market on Your Name") — it's under NDA. The allowlist ismarketing/podcast/lib/hosted.mjs(shared byfeed.mjs+ship.mjs) plus the papersPODCASTSset; a slug not listed there does not go public —ship.mjshard-refuses it. - Register the essay first if it's new: it needs an entry in
papers/cli.mjs(PAPER_MAP + PAPER_COPY + the essays category + the reading-length map + a catalog abstract) with asiteNamelikeaesthetic-<slug>-essay, and the hosted mp3 uses that siteName. - Register the podcast link: add the siteName to
PODCASTSinpapers/cli.mjs, and add the"<slug>": "<siteName>"line tomarketing/podcast/lib/hosted.mjs. Optional: set a per-episodesubstrateinmarketing/podcast/lib/substrates.mjs(EPISODE_SUBSTRATE) — clean / tape / radio / night; default tape.
Steps
-
Produce the audio. From
marketing/podcast/:node bin/produce.mjs ../../papers/essay-<slug>/<base>.tex [--kit felt] [--open]Per-sentence, beat-aligned to a lo-fi bed (kits: felt/brush/wood/808/pulse — audition with
node bin/kits.mjs). Writesout/<slug>.{mp3,srt,json}and a cover. Register the reading register is storytelling, not salesy. -
Make the caption video (caption-only, centered, per-episode theme):
node bin/video.mjs <slug> # theme from THEMES map, or: node bin/video.mjs <slug> --bg '#101822' --fg '#EAF0F2' --title '#8CE99A'→
out/youtube/<slug>.mp4. (This ffmpeg has no libass — captions are baked with ImageMagick and concatenated as video clips, not the concat demuxer.)
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.
- 2mo ago First seen · 97 lines · 103 tokens per session scan A e5010c173f0d
reading is a skill published in the GitHub repository whistlegraph/aesthetic-computer (91 stars, last pushed yesterday), licensed ISC. It adds 103 tokens to every session and 1,536 once invoked, about $0.0004 per session on Opus 5.5. 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.
reading compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| readingwhistlegraph/aesthetic-computer | Skill | 91 | yesterday | ISC | A | 103 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 2d ago | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | 2d ago | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | yesterday | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 5d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |