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 aiappsgbb/awesome-gbb --skill foundry-doc-vision-speechgit clone --depth 1 https://github.com/aiappsgbb/awesome-gbbWrote 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/aiappsgbb/awesome-gbb/foundry-doc-vision-speech)<a href="https://agentmods.dev/skills/aiappsgbb/awesome-gbb/foundry-doc-vision-speech"><img src="https://agentmods.dev/badge/skills/aiappsgbb/awesome-gbb/foundry-doc-vision-speech/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/aiappsgbb/awesome-gbb/foundry-doc-vision-speech"><img src="https://agentmods.dev/badge/skills/aiappsgbb/awesome-gbb/foundry-doc-vision-speech.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 679 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00185 | $0.12243 |
| Opus 5 | $0.00093 | $0.06122 |
| Sonnet 5 | $0.00037 | $0.02449 |
| Haiku 4.5 | $0.00018 | $0.01224 |
Grade A, and why
foundry-doc-vision-speech scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
r = requests.post(url, headers={ How it starts
The opening of the file, as written. The whole thing — 937 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Foundry Doc / Vision / Speech
This skill wires the non-chat AI services every threadlight process eventually needs — image understanding, document parsing, voice — into the agent runtime.
It reads SPEC § 7b (AI Services & Model Selection) from threadlight-design,
selects the right Azure resource per modality, generates the tool contracts,
and emits the Bicep module selectors that threadlight-deploy Phase 6 +
azd-patterns consume.
When to Use
Use this skill when the SPEC declares ANY of:
- Image / photo / video frame analysis (returns triage damage photos, KYC selfie, blueprint annotation, supplier facility photos)
- Structured-document extraction (invoices, claim forms, KYC IDs, quotes, BOMs)
- Voice / audio (FNOL voice intake, call recording transcription, IVR responses)
If the SPEC only needs chat (text-in, text-out), you do NOT need this skill —
the default gpt-5.4-mini model from threadlight-deploy is sufficient.
When NOT to Use
- Pure chat agents —
threadlight-deployhandles the chat model - Knowledge retrieval over documents — that's
foundry-iq(semantic search over already-indexed content). Use this skill for the extraction step that produces searchable text from unstructured docs, then hand off tofoundry-iqfor retrieval. - MCP server deployment — that's
foundry-mcp-aca
⚠️ GPT-4o is LEGACY (May 2026)
GPT-4o and GPT-4o Vision are explicitly forbidden as defaults. SPEC § 7b hardcodes the modern decision tree:
| Use case | Model | Notes |
|---|---|---|
| Default chat reasoning | gpt-5.4-mini (2026-03-17) |
400K context, vision-capable, fastest, cheapest |
| Vision (default) | gpt-5.4-mini |
Multimodal in same model — usually no separate vision deployment |
| Vision (high-stakes, large frames) | gpt-5.4 (2026-03-05) |
1M context, more accurate on dense visual content |
| Vision + reasoning premium | gpt-5.4-pro |
When the answer must reason about the image (e.g., "is this a structural defect?") |
| Bulk/cheap vision | gpt-5.4-nano |
Background batch jobs, throwaway analysis |
| Code multimodal | gpt-5.3-codex |
Screenshot → code, error UI → diagnosis |
| Structured docs | Document Intelligence v4 prebuilt | Field extraction with confidence scores; faster than vision LLM for known forms |
| Custom forms | Document Intelligence v4 custom | Train on 5+ samples of customer-specific forms |
| Voice → text | Azure Speech-to-Text (Whisper option) | Fast, batch, real-time options |
| Text → voice | Azure Speech-to-Text (neural voices) | For IVR, audio briefings |
What ships with it
2 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.
- 9d ago First seen · 937 lines · 185 tokens per session scan A b78dc0dfcecd
foundry-doc-vision-speech is a skill published in the GitHub repository aiappsgbb/awesome-gbb (5 stars, last pushed 2d ago), licensed MIT. It adds 185 tokens to every session and 12,243 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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