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.
npx skills add akaieuan/Hologram --skill asset-gategit clone --depth 1 https://github.com/akaieuan/HologramWrote 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/akaieuan/hologram/asset-gate)<a href="https://agentmods.dev/skills/akaieuan/hologram/asset-gate"><img src="https://agentmods.dev/badge/skills/akaieuan/hologram/asset-gate/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/akaieuan/hologram/asset-gate"><img src="https://agentmods.dev/badge/skills/akaieuan/hologram/asset-gate.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 | $0.00076 | $0.00659 |
| Opus 5 | $0.00038 | $0.00329 |
| Sonnet 5 | $0.00015 | $0.00132 |
| Haiku 4.5 | $0.00008 | $0.00066 |
Grade A, and why
Gate assets for 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 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gate assets for review
The chokepoint between "an agent built something" and "a human reviews it".
Standards come from golden.json and .hologram/checks.py — the gate applies
them, it never defines them.
The one rule: you may stamp pending-review or gate-failed. You must NEVER
mark an asset approved or rejected — approval is the human's move.
What to do
-
Resolve the target. An asset id, a
.glbpath, a category, orall. A bare name → match against manifest id stems; nothing matches → stop and say so. -
Run the gate checks.
hologram check --json, filtered to the target assets. With agolden.jsonpresent this includes the tri budgets and golden-thumbnail drift automatically. Anerror-severity finding fails the gate for that asset; warnings pass with notes. -
Stamp the manifest. For each gated asset, edit its record in
exports/manifest.json(agent-written — Hologram itself never writes):"review": {"status": "pending-review" | "gate-failed", "version": <record version>, "at": "<ISO-8601Z>"}- A human decision (
approved/rejected) on the same version stands — do not overwrite it. A version bump re-opens the asset: stamp normally. - Preserve every other key in the record; edit surgically.
- A human decision (
-
Log the gate. Append one line per run to
<export_root>/activity.jsonl:{"ts": "<ISO-8601Z>", "actor": "claude", "skill": "asset-gate", "target": "<target>", "note": "P passed, F failed"} -
Report. Per asset: id, pass/fail, resulting status, and for failures the exact checks that missed with their numbers:
Gated 3 assets (target: props) ✓ props/market_stall → pending-review ✗ props/crane_arm → gate-failed (1 error) - tri budget: 44,120 tris > props budget 30,000
On failures: report and STOP
The fix belongs in the generating script or source file, not the exported GLB —
and the user may want to make that call. Do not auto-fix unless explicitly
asked. Never touch golden.json: agents build against the goldens; only the
human moves them.
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 · 60 lines · 76 tokens per session scan A aa46bd3cbf8f
Gate assets for review is a skill published in the GitHub repository akaieuan/Hologram (2 stars, last pushed 1mo ago), licensed MIT. It adds 76 tokens to every session and 659 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.
Other skills, from other repositories
kiln
3D asset production pipeline via Blender MCP — sourcing, AI generation, cleanup, texturing, optimization, export. Batch mode for autonomous multi-asset production.
using-blender
General Blender workflow skill for AI agents working with .blend, .fbx, .obj, .glb, glTF, materials, scene inspection, bpy automation, headless Blender batch runs, export/reimport validation, previews, and optional Blender MCP control. Use when a task asks to open, inspect, create, automate, convert, optimize, render…
ikea-model-collector
Collect user-observed IKEA product GLB models into verified local research collections with provenance, dimensions, optional Blender previews, a Three.js gallery, indexes, and handoff. Use when Codex is asked to find an IKEA product's available 3D model, process a user-specified product list, import browser-captured…
dashboard-design
Use this skill first when the user wants to design or plan a dashboard, especially Vizro dashboards. Enforces a 3-step workflow (requirements, layout, visualization) before implementation. Activate when the user asks to create, design, or plan a dashboard. For implementation, use the dashboard-build skill after…
selecting-vizro-charts
Use this skill when choosing chart types, applying Plotly Express conventions, configuring colors, building KPI cards, or adding tables (AG Grid) to Vizro dashboards. Activate when the user asks which chart fits their data, needs custom chart functions, wants to set colors or palettes, is creating KPI metric cards, or…
social-media-matrix
A multi-platform social media tracking dashboard that compares platforms and metrics in a table-like view. It includes charts, an insights panel, and a grid of top posts.