generate-asset-actions

generate-asset-actions is a skill for Claude Code from UKGovernmentBEIS/inspect_evals. It costs 37 tokens per session (858 once invoked), scanned A, original, MIT.

A generator for an asset-action file and an audit summary based on an ASSETS.yaml asset inventory. It classifies assets into priority tiers according to their reliability and target handling stage.

In plain words
What is it for?
Use it to refresh asset actions, rebuild the asset manifest when needed, and produce summary counts for the audit report.
Why use it?
It keeps asset-handling decisions up to date when the inventory changes or its generated files become stale.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to refresh asset actions, rebuild the asset manifest when needed, and produce summary counts for the audit report.

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Install with agentmods
npx agentmods add skills/ukgovernmentbeis/inspect_evals/generate-asset-actions
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.

Any agent
npx skills add UKGovernmentBEIS/inspect_evals --skill generate-asset-actions
Clone the repo
git clone --depth 1 https://github.com/UKGovernmentBEIS/inspect_evals

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 generate-asset-actions

README.md
[![agentmods](https://agentmods.dev/badge/skills/ukgovernmentbeis/inspect_evals/generate-asset-actions/github.svg)](https://agentmods.dev/skills/ukgovernmentbeis/inspect_evals/generate-asset-actions)
Your own site
<a href="https://agentmods.dev/skills/ukgovernmentbeis/inspect_evals/generate-asset-actions"><img src="https://agentmods.dev/badge/skills/ukgovernmentbeis/inspect_evals/generate-asset-actions/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 generate-asset-actions

Your own site · 80×15
<a href="https://agentmods.dev/skills/ukgovernmentbeis/inspect_evals/generate-asset-actions"><img src="https://agentmods.dev/badge/skills/ukgovernmentbeis/inspect_evals/generate-asset-actions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 858 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00037 $0.00858
Opus 5 $0.00018 $0.00429
Sonnet 5 $0.00007 $0.00172
Haiku 4.5 $0.00004 $0.00086

Measured 11d ago against content hash 5398a27649f0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

generate-asset-actions 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.

.claude/skills/generate-asset-actions/SKILL.md · 62 lines

How it starts

The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Generate Asset Policy

Regenerate internal/audits/asset-actions.yaml and internal/audits/audit-summary.md from ASSETS.yaml.

If ASSETS.yaml may be stale, run uv run python tools/generate_asset_manifest.py first.

Run uv run python tools/summarise_asset_manifest.py to get aggregate counts (by type, by state, totals). Use these numbers when populating audit-summary.md.

Classification

Read ASSETS.yaml. For each asset, determine target stage first, then priority. Process both state: floating assets AND state: pinned assets that match known-unstable sources (since their target is controlled, they are not yet at their target stage).

Target stages (per ADR-0007)

The target stage depends on host reliability, not asset type:

  • controlled (Stage 2) — any asset where upstream has broken before, maintainer is unresponsive/deprecated, OR host is unreliable (personal repos, Google Drive, .edu domains, university servers, any host without version control). This applies to git_clone, direct_url, and huggingface alike.
  • pinned (Stage 1) — assets on reliable, version-controlled hosts (GitHub, HuggingFace, well-known CDNs) with no history of breakage.

Per ADR-0007: "Anything hosted on a less reliable domain (personal websites, Google Drive, university servers, or any host without version control) should skip straight to Stage 2."

Priority tiers

  1. Urgent — all other floating refs on reliable hosts. Target is pinned.
  2. High — matches a known-unstable source (see registry below). Target is controlled.
  3. Medium — unreliable host (drive.google.com, .edu domains, personal repos/websites) not already in the known-unstable registry. Target is controlled.

For assets with state: pinned and a {SHA} placeholder but no checksum, classify as Low (target: pinned with checksum).

Omit assets already at their target stage.

Every entry needs: eval, source, type, state, target, action, reason.

Read the full file on GitHub · 62 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. 11d ago First seen · 62 lines · 37 tokens per session scan A 5398a27649f0

Subscribe to this mod's changes

generate-asset-actions is a skill published in the GitHub repository UKGovernmentBEIS/inspect_evals (665 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 858 once invoked, about $0.0002 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 2026-08-30.

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