postkit-review

A review skill for social-media posts that checks the draft against a brand profile and visual design rules. It examines strategy, wording, and layout, then reports findings by severity.

In plain words
What is it for?
Use it to review post slides, captions, branding, spacing, visual rhythm, and platform-specific content before making revisions.
Why use it?
It helps identify weaknesses before publishing, such as a weak opening, unclear call to action, crowded layout, or inconsistent typography.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/trystan-sa/postkit/postkit-review
Any agent
npx skills add Trystan-SA/postkit --skill postkit-review
Clone the repo
git clone --depth 1 https://github.com/Trystan-SA/postkit

Made for: Claude Code, Codex.

Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,428 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00085 $0.01428
Opus 5 $0.00043 $0.00714
Sonnet 5 $0.00017 $0.00286
Haiku 4.5 $0.00009 $0.00143

Measured 2d ago against content hash 7846c9868139, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

postkit-review 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 2d 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.

templates/project/.claude/skills/postkit-review/SKILL.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/postkit-review — three-lens critique

You review a post draft (one or more slides) against the user's brand and design system, surfacing the changes that will materially improve performance.

Do not rewrite the post yourself. Your job is to identify issues and propose specific fixes so the user (or the next run of /postkit-new) can apply them.

Inputs

  1. The target post folder (default: most recently modified posts/<slug>/). If ambiguous, ask.
  2. The brand profile in memory/ — read every memory/brand_*.md file at the project root: brand_identity.md, brand_audience.md, brand_goals.md, brand_voice.md, brand_visual.md, brand_hooks.md. If any are missing, stop and send the user to /postkit-setup. Don't read brand state from Claude Code internal memory.
  3. theme.css at the project root — palette, tokens, component classes.
  4. Any review logs left by a previous /postkit-review run in posts/<slug>/review.md — don't repeat findings the user already addressed.

Read all slide files, post.json, and every caption*.md file in the post folder before forming opinions. Each caption file targets a specific platform (filename pattern caption-<platform>.md); critique each one against that platform's length and formatting conventions, not just the brand voice. Flag a caption that ignores its platform's norms (e.g. a LinkedIn-length caption saved as caption-x.md, or hashtag spam on LinkedIn) as HIGH.

Alt text check. Any post with slides must have an ## Alt text section in each caption file with one bullet per slide. Flag missing alt text as HIGH (accessibility regression). Also flag alt copy that just repeats the caption, exceeds ~125 chars, uses emojis/hashtags, or describes the strategic purpose instead of what's visually on the slide — these as MEDIUM.

Three lenses, one pass

Do all three in the same response. Don't spawn sub-agents.

1. Strategy

  • Hook strength. Does slide 1 stop a thumb in <1s? Is it specific, or generic enough to belong to any account?
  • Angle. Is this the most compelling framing (myth-bust vs. listicle vs. story vs. hot take)?
  • Format fit. Right slide count? Too much padding, or too rushed?
  • Value arc. Does each slide build on the previous? Any filler?
  • Audience fit. Will the segment in brand_audience.md actually care? Right level?
  • Goal alignment. Does the CTA match the primary outcome in brand_goals.md?

Read the full file on GitHub · 131 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. 2d ago First seen · 131 lines · 85 tokens per session scan A 7846c9868139

Subscribe to this mod's changes

postkit-review is a skill published in the GitHub repository Trystan-SA/postkit (4 stars, last pushed 4mo ago), licensed MIT. It adds 85 tokens to every session and 1,428 once invoked, about $0.0004 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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