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 lexlapax/allbert-assist --skill run-analysisgit clone --depth 1 https://github.com/lexlapax/allbert-assistWrote 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/lexlapax/allbert-assist/run-analysis)<a href="https://agentmods.dev/skills/lexlapax/allbert-assist/run-analysis"><img src="https://agentmods.dev/badge/skills/lexlapax/allbert-assist/run-analysis/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/lexlapax/allbert-assist/run-analysis"><img src="https://agentmods.dev/badge/skills/lexlapax/allbert-assist/run-analysis.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 | $0.00021 | $0.00410 |
| Opus 5.5 | $0.00008 | $0.00164 |
| Sonnet 5.5 | $0.00004 | $0.00082 |
| Haiku 4.5 | $0.00002 | $0.00041 |
Grade A, and why
run-analysis 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 2mo 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
Workflow
- Validate the ticker symbol and ISO-8601 analysis date.
- Evaluate
:stocksage_analyzethrough Security Central. - When confirmation is required (the default), create a durable confirmation record and stop. Do not call the bridge yet.
- On the approved resume path, run the native StockSage specialist-agent graph
by default. Only call the Python bridge when the operator explicitly
requested
engine: "python"orengine: "both". - Persist the returned analysis in the local StockSage domain tables, including
parity diff JSON for explicit
engine: "both"requests. - When a queue entry id is provided, update the queue entry status and record a queue run row linking it to the analysis.
Safety
- Native evidence actions and explicit Python bridge runs may make external market-data API calls. The operator confirmation covers analysis as a whole; evidence calls still preserve Resource Access posture.
- Raw TradingAgents output is never surfaced in traces, CLI list summaries, or signals. Only bounded structured metadata is shown.
:stocksage_analyzehas aneeds_confirmationsafety floor; no setting can lower it toallowed.
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.
- 2mo ago First seen · 41 lines · 21 tokens per session scan A 93962173eb19
run-analysis is a skill published in the GitHub repository lexlapax/allbert-assist (12 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 21 tokens to every session and 410 once invoked, about $0.0001 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 2026-08-30.
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