Borrowing it
Nothing to install: this file belongs to thejefflarson/soundcheck. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/thejefflarson/soundcheck/main/.claude/skills/llm-supply-chain/SKILL.mdgit clone --depth 1 https://github.com/thejefflarson/soundcheckWrote 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/thejefflarson/soundcheck/llm-supply-chain)<a href="https://agentmods.dev/skills/thejefflarson/soundcheck/llm-supply-chain"><img src="https://agentmods.dev/badge/skills/thejefflarson/soundcheck/llm-supply-chain.svg" alt="Measured on agentmods" 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 | $0.00071 | $0.00694 |
| Opus 5 | $0.00036 | $0.00347 |
| Sonnet 5 | $0.00014 | $0.00139 |
| Haiku 4.5 | $0.00007 | $0.00069 |
Grade A, and why
llm-supply-chain 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 6d 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LLM Supply Chain Security Check (OWASP LLM05:2025)
What this checks
Protects against compromised or backdoored models introduced through unverified
downloads, floating version tags, or unreviewed third-party providers. A tampered
model weight file or a silently swapped latest tag can introduce persistent
backdoors that survive retraining.
Vulnerable patterns
- Model artifact downloaded from an arbitrary host or URL with no checksum or signature verification
- Model identifier that uses a floating tag (
latest,main, a mutable branch) instead of an exact pinned revision - Third-party model integrated with no review of model card, license, or provenance
- Automated model-update job in CI that bumps revisions without a human approval gate
Fix immediately
Flag the vulnerable code and explain the risk. Then suggest a fix that establishes these properties:
- Model revisions are pinned to an exact commit SHA or content digest, never a
mutable name like
mainorlatest. A floating tag lets the registry (or a registry compromise) silently swap what you load on the next pull — including backdoored weights that look identical by name. - Weight files are checksum-verified after download. A cryptographic digest (SHA-256 or stronger) of the expected bytes is pinned in version control; the loader computes the digest on the downloaded file and refuses to use it on mismatch. Pinning the revision alone does not help if the artifact is served from a compromised CDN.
- Model source is validated against an allowlist of approved organizations or registries before download begins. A wildcard organization field is the supply-chain equivalent of accepting any author.
- Automated model updates have a human approval gate. A CI job that bumps a pinned revision without review is a backdoor delivery channel; rotate revisions through PRs with signed artifacts reviewed by a human.
Translate these principles to the loader API, registry client, and CI system of the audited file. Use the SDK's documented pinning and verification mechanisms — do not implement ad-hoc checks.
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.
- 6d ago First seen · 64 lines · 71 tokens per session scan A e91af7f6bd9c
llm-supply-chain is a skill published in the GitHub repository thejefflarson/soundcheck (20 stars, last pushed 1mo ago), licensed MIT. It adds 71 tokens to every session and 694 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 2026-08-30.
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