Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/jubscodes/get-shit-prettynpx agentmods add skills/jubscodes/get-shit-pretty/gsp-project-critiqueWrote 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/jubscodes/get-shit-pretty/gsp-project-critique)<a href="https://agentmods.dev/skills/jubscodes/get-shit-pretty/gsp-project-critique"><img src="https://agentmods.dev/badge/skills/jubscodes/get-shit-pretty/gsp-project-critique/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/jubscodes/get-shit-pretty/gsp-project-critique"><img src="https://agentmods.dev/badge/skills/jubscodes/get-shit-pretty/gsp-project-critique.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 | $0.00000 | $0.02367 |
| Opus 5 | $0.00000 | $0.01184 |
| Sonnet 5 | $0.00000 | $0.00473 |
| Haiku 4.5 | $0.00000 | $0.00237 |
Grade A, and why
gsp-project-critique 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 11d 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Works with the dual-diamond architecture: reads brand context from .design/branding/{brand}/ via brand.ref, reads/writes project assets in .design/projects/{project}/.
Input: All prior project chunks + brand identity
Output: {project}/critique/ (critique + accessibility chunks + INDEX.md) + exports/INDEX.md update
Agents: gsp-project-critic + gsp-accessibility-auditor
Output mode: Honor ${CLAUDE_SKILL_DIR}/../../policies/output-modes.md per preferences.project_size (default compact). Chunk file counts and consolidation rules live in the policy.
If .design/projects/ does not exist: output "No GSP project found. Run /gsp-start to begin." and stop.
Resolve project from .design/projects/ (one → use it, multiple → ask). Set PROJECT_PATH.
Read {PROJECT_PATH}/brand.ref → set BRAND_PATH.
Step 1: Load context
Read {PROJECT_PATH}/config.json to get implementation_target, design_scope, and accessibility_level.
Load all prior chunks (chunk-first with fallbacks)
BRIEF: {PROJECT_PATH}/BRIEF.md
Identity: Read {BRAND_PATH}/identity/INDEX.md → load all chunks.
Patterns: Read {BRAND_PATH}/patterns/INDEX.md → load all chunks.
Design: Read {PROJECT_PATH}/design/INDEX.md → load all chunks.
Brief: Read {PROJECT_PATH}/brief/INDEX.md → load all chunks (if exists).
Research: Read {PROJECT_PATH}/research/INDEX.md → load recommendations.md (if exists).
Step 1.5: Scope check
If design_scope is tokens:
- Check if
{PROJECT_PATH}/critique/accessibility-token-audit.mdexists (from prior/gsp-accessibility --tokens). If yes, reference it and skip inline token checks. If no, suggest running/gsp-accessibility --tokensfor detailed token contrast analysis. - Review system chunks only — token foundations, naming, scale consistency
- Run accessibility audit on color contrast and token values only (unless prior token audit exists)
- Write results to
{PROJECT_PATH}/critique/accessibility-audit.mdandaccessibility-fixes.md - Write
{PROJECT_PATH}/critique/INDEX.md - Update STATE.md — set Phase 4 to
complete - Route: "Run
/gsp-project-build." - Stop here
What ships with it
4 files 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.
- 11d ago First seen · 185 lines · 0 tokens per session scan A 19508e81b3f7
gsp-project-critique is a skill published in the GitHub repository jubscodes/get-shit-pretty (54 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,367 tokens. 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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