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 byok_401_debug_expertgit 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/byok_401_debug_expert)<a href="https://agentmods.dev/skills/aiappsgbb/awesome-gbb/byok_401_debug_expert"><img src="https://agentmods.dev/badge/skills/aiappsgbb/awesome-gbb/byok_401_debug_expert/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/byok_401_debug_expert"><img src="https://agentmods.dev/badge/skills/aiappsgbb/awesome-gbb/byok_401_debug_expert.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 | $0.00052 | $0.00758 |
| Opus 5 | $0.00026 | $0.00379 |
| Sonnet 5 | $0.00010 | $0.00152 |
| Haiku 4.5 | $0.00005 | $0.00076 |
Grade B, and why
byok_401_debug_expert scanned grade B with 2 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -X POST <endpoint>/api/v1/invoke -H "Content-Type: application/json" -d '{"input":"hello"}' Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST <endpoint>/api/v1/invoke -H "Content-Type: application/json" -d '{"input":"hello"}' How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
byok_401_debug_expert
Background
When a Foundry hosted agent uses BYOK (bring-your-own-key) against a
customer-owned Azure OpenAI account, the agent's identity needs Foundry User (RoleDefinitionId 53ca6127-db72-4b80-b1b0-d745d6d5456d) assigned
at TWO scopes:
- Project scope —
azd ai agent deployassigns this automatically - CognitiveServices account scope — NOT assigned automatically
Without the account-scope role, the agent starts and accepts /invoke
calls (returns 200 with SSE stream), but the FIRST event in the stream is
an error with the 401. This is the silent BYOK 401.
Investigation flow
-
Get the agent's identity:
az cognitiveservices account show --name <foundry-account> --resource-group <rg> --query "identity" -o json az ml online-endpoint show --workspace-name <project> --resource-group <rg> --name <endpoint> --query "identity" -o json -
List role assignments on the BYOK CognitiveServices account:
az role assignment list \ --scope /subscriptions/<sub>/resourceGroups/<rg>/providers/Microsoft.CognitiveServices/accounts/<account> \ --role "Foundry User" -o table -
Match against the agent's identity. If the agent's UAMI
principalId(or itsinstance_identity.principal_id) is NOT in the role assignment list at the ACCOUNT scope — that's the root cause. -
Verify the symptom in App Insights:
traces | where timestamp > ago(2h) | where cloud_RoleName == "<agent-name>" | where message contains "Authentication failed with provider" | project timestamp, message, customDimensions -
Output the exact fix for the human to run:
az role assignment create \ --assignee <agent-uami-principalId> \ --role "Foundry User" \ --scope /subscriptions/<sub>/resourceGroups/<rg>/providers/Microsoft.CognitiveServices/accounts/<byok-account>Also grant to
blueprint.principal_idifazd ai agent showreveals a separate blueprint identity.
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 · 80 lines · 52 tokens per session scan B 1e089bb1f844
byok_401_debug_expert is a skill published in the GitHub repository aiappsgbb/awesome-gbb (5 stars, last pushed 2d ago), licensed MIT. It adds 52 tokens to every session and 758 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
debug-optimize-lcp
Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…
systematic-debugging
Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.
diagnose
Trace from a reproduced symptom to the source code that causes it. Pin the specific file and approximate line, rate confidence in the cause and clarity of the fix independently, and always propose a concrete fix.
repro-admin
Reproduce an EmDash admin UI bug. Attach a container, start the demo dev server, drive the admin with agent-browser using the dev-bypass session, and capture the reproduction as screenshots plus a replayable transcript.
log-error-digest
Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…
byted-util-volcengine-detect-retry
An orchestration workflow for Volcengine Cloud Detect, a service that checks websites or network endpoints from test locations.