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 wublinux/supply-chain-local-agent --skill supply-chain-qagit clone --depth 1 https://github.com/wublinux/supply-chain-local-agentWrote 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/wublinux/supply-chain-local-agent/supply-chain-qa)<a href="https://agentmods.dev/skills/wublinux/supply-chain-local-agent/supply-chain-qa"><img src="https://agentmods.dev/badge/skills/wublinux/supply-chain-local-agent/supply-chain-qa/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/wublinux/supply-chain-local-agent/supply-chain-qa"><img src="https://agentmods.dev/badge/skills/wublinux/supply-chain-local-agent/supply-chain-qa.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 | $0.00035 | $0.00205 |
| Opus 5 | $0.00017 | $0.00102 |
| Sonnet 5 | $0.00007 | $0.00041 |
| Haiku 4.5 | $0.00003 | $0.00020 |
Grade A, and why
supply-chain-qa 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 9d 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.
What it actually says
Supply Chain Knowledge Q&A
- Call
kb_searchbefore making any company-specific claim. - Use
kb_getwhen the returned excerpt is insufficient or the exact wording matters. - Cite every substantive conclusion with its exact source locator:
[来源: 文件名, 第N页/幻灯片N/工作表!A1:H20]. - Clearly label draft sources as
未审核. - Never use a draft company policy or framework agreement as the basis of a conclusion. Ask for review or say that the knowledge base has no reliable basis.
- Treat extracted contact names as candidates unless the contact record is explicitly confirmed.
- If sources conflict, present both versions and their effective dates instead of choosing silently.
- Agreement retrieval is informational and is not legal advice.
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.
- 9d ago First seen · 16 lines · 35 tokens per session scan A c826fb221bdd
supply-chain-qa is a skill published in the GitHub repository wublinux/supply-chain-local-agent (0 stars, last pushed 11d ago), licensed MIT. It adds 35 tokens to every session and 205 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 2026-08-31.
Other skills, from other repositories
documentation-server
Use when you need to store, retrieve, search, or manage documents in a local knowledge base with semantic search and hybrid (vector + full-text) retrieval. Also use when interacting with the documentation server web interface, managing uploads, or performing AI-powered document analysis. Use this instead of MCP-native…
opik-diagnose
Surface the Opik traces worth a developer's attention, ranked by signal — Diagnostics issues first, then errors, failed tool calls, latency, regressions, and low online-eval scores. With the Opik MCP connected it lists the project's agentinsightsissue entities, then fills the gaps with list (filters, sort, a time…
cortex-explore-memory
Explore the memory system's state, find gaps in knowledge, assess coverage, and get diagnostic information. Use when the user asks 'what does my memory look like', 'show me memory stats', 'what am I missing', 'how good is my knowledge', 'memory health', 'show coverage', 'find gaps', 'what topics are weak', or when you…
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis with two-column tables. Left column preserves the chapter content; right column maps every idea to the reader's actual life using brain context. Output is a single brain page at media/books/ -personalized plus an optional PDF via brain-pdf.
daily-task-prep
Morning preparation. Calendar lookahead, meeting context loading, open threads from yesterday, active task review. Extends briefing with actionable prep.
quick-capture
Use this skill to drop a new task into GSD Task Manager from any AI assistant that has the gsd-mcp-server connected.