aesthetic-computer: Skill for Claude Code

.claude/skills/oskiewar-cull/SKILL.md

oskiewar-cull is a skill for Claude Code from whistlegraph/aesthetic-computer. It costs 72 tokens per session (1,465 once invoked), scanned A, original, ISC.

A browser-automation skill for removing Instagram reels that perform below a specified view threshold.

In plain words
What is it for?
It is for finding and deleting underperforming reels from an Instagram account.
Why use it?
It handles deletion in Chrome because the Instagram API does not provide a deletion endpoint for these reels.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is whistlegraph/aesthetic-computer's own configuration. It tells Claude Code how to work on aesthetic-computer itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything aesthetic-computer configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is node xbox/live/marketing/reel.mjs --insights # views AND permalinks.

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/whistlegraph/aesthetic-computer/main/.claude/skills/oskiewar-cull/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/whistlegraph/aesthetic-computer

Made for: Claude Code.

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 oskiewar-cull

README.md
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Your own site
<a href="https://agentmods.dev/skills/whistlegraph/aesthetic-computer/oskiewar-cull"><img src="https://agentmods.dev/badge/skills/whistlegraph/aesthetic-computer/oskiewar-cull/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.

agentmods 80×15 button for oskiewar-cull

Your own site · 80×15
<a href="https://agentmods.dev/skills/whistlegraph/aesthetic-computer/oskiewar-cull"><img src="https://agentmods.dev/badge/skills/whistlegraph/aesthetic-computer/oskiewar-cull.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,465 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.
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 $0.00072 $0.01465
Opus 5.5 $0.00029 $0.00586
Sonnet 5.5 $0.00014 $0.00293
Haiku 4.5 $0.00007 $0.00146

Measured 1mo ago against content hash dcab187ee36e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

oskiewar-cull 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 1mo 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.

.claude/skills/oskiewar-cull/SKILL.md · 129 lines

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.

Oskiewar reel cull

Meta's Graph API can publish a reel and report on it. It cannot delete one. That is not an oversight in this pipeline — there is no endpoint — so the only road to deleting a reel is a browser, and trim.mjs is deliberately built with no Instagram login and no deletion path at all. It reports; something else acts.

This skill is that something else. It is you, in Chrome, holding a work list that a read-only tool produced.

The account has ~49.5k followers and deletion is irreversible. Nothing here deletes without a fresh yes from @jeffrey against the actual list.

1. Refresh, then read the list

cd ~/aesthetic-computer
set -a; . vault/oskiewar/instagram.env; set +a   # OSKIEWAR_IG_TOKEN
node xbox/live/marketing/reel.mjs --insights     # views AND permalinks
node xbox/live/marketing/trim.mjs                # the work list

Refresh first, every time. The policy line is 1,000 views and reels keep earning views for weeks, so a candidate read off stale insights is a reel you may be deleting after it passed the bar. Insights older than a day or two are not good enough to delete on.

--insights is also what fills in permalink. A candidate printed with no permalink recorded has nowhere for you to go: run the insights pass and ask again.

node xbox/live/marketing/trim.mjs --json gives the same list as data.

2. Read what the misses mean before deleting them

A reel answering error subcode 33 — "does not exist, cannot be loaded due to missing permissions" — during the refresh is already deleted, as long as other reels refreshed fine on the same token. Those are ghosts, not candidates. Do not go looking for them in Chrome; they are gone.

Check that the ghost is recorded (deletedAt in ledger.json). If it is not, that is bookkeeping, not a cull.

3. Get a yes

Show @jeffrey the candidates — date, views, watch time, skip rate, segment — and wait. Deleting a reel is outward-facing and cannot be undone. A prior "go ahead" does not carry to a list he has not seen.

Read the full file on GitHub · 129 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. 1mo ago Changed · +19 lines dcab187ee36e
  2. 1mo ago First seen · 110 lines · 72 tokens per session scan A 2fbd4297ca47

Subscribe to this mod's changes

oskiewar-cull is a skill published in the GitHub repository whistlegraph/aesthetic-computer (91 stars, last pushed yesterday), licensed ISC. It adds 72 tokens to every session and 1,465 once invoked, about $0.0003 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 2026-09-14.

Related

oskiewar-cull compared with skills from other repositories

oskiewar-cull next to 6 skills from other repositories
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