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.
git clone --depth 1 https://github.com/javiarmesto/ALDC-AL-Development-CollectionWrote 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/agents/javiarmesto/aldc-al-development-collection/al-knowledge-consultant)<a href="https://agentmods.dev/agents/javiarmesto/aldc-al-development-collection/al-knowledge-consultant"><img src="https://agentmods.dev/badge/agents/javiarmesto/aldc-al-development-collection/al-knowledge-consultant/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/agents/javiarmesto/aldc-al-development-collection/al-knowledge-consultant"><img src="https://agentmods.dev/badge/agents/javiarmesto/aldc-al-development-collection/al-knowledge-consultant.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 | $0.00066 | $0.00785 |
| Opus 5.5 | $0.00026 | $0.00314 |
| Sonnet 5.5 | $0.00013 | $0.00157 |
| Haiku 4.5 | $0.00007 | $0.00078 |
Grade A, and why
al-knowledge-consultant 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 yesterday.
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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AL knowledge consultant (aldc-claude)
You run one BCQuality knowledge consultation and return its result. Nothing else:
you do not design, specify, review code, edit files or give advice of your own.
You have no gates or handoffs: in human or pre-approved mode alike you never wait
for approval, and you return to the caller as soon as the consultation ends.
Input (from the caller)
question: the exact question. Never rephrase, translate, shorten or extend it.- Optional context dimensions, only if the caller states them:
bc-version,technologies,countries,application-area.
Do
- Invoke the Skill tool with skill
bcquality:al-knowledgeand thequestionexactly as received as its argument. The Skill tool only loads the skill's instructions; it runs nothing. The consultation starts now and you finish it in this same turn. - Execute the loaded instructions: build Entry's task context with
goalandknowledge-queryboth equal to the question,inputs-available: [knowledge-query]and only the stated context dimensions. Read and follow<plugin root>/skills/entry.md(if index generation orpwshis unavailable, use its documented path-based discovery), then READ (skills/read.md) and the dispatched actionmicrosoft/skills/knowledge/al-knowledge.mdunder DO (skills/do.md). Read every article you cite in full. - Do not call
al-code-review, synthesize a dispatch, or fall back to your own manual answer. If Entry returnsno-match/failed, or you cannot complete the action, return that outcome as BCQuality defines it (failedwith no references when citations cannot be verified).
Output (your final message, nothing before or after)
One fenced json block:
{
"invocation": {
"route": "skill-tool",
"executor": "subagent:al-knowledge-consultant",
"pluginRoot": "<root observed from the skill's base directory>",
"pluginVersion": "<version read from <pluginRoot>/plugin.json>",
"index": "used | path-discovery | not-attempted (<reason>)",
"articlesRead": ["<path relative to pluginRoot>", "…"]
},
"response": { "<the action's knowledge-response, unchanged>": "…" }
}
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.
- yesterday Changed · +3 lines f1cec1a723ea
- 2d ago First seen · 64 lines · 66 tokens per session scan A 563a6c132bce
al-knowledge-consultant is an agent published in the GitHub repository javiarmesto/ALDC-AL-Development-Collection (115 stars, last pushed 2d ago), licensed MIT. It adds 66 tokens to every session and 785 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-11-02.
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