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 chengxu999/bayeslab-ion --skill bayeslab-ion-researchgit clone --depth 1 https://github.com/chengxu999/bayeslab-ionWrote 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/chengxu999/bayeslab-ion/bayeslab-ion-research)<a href="https://agentmods.dev/skills/chengxu999/bayeslab-ion/bayeslab-ion-research"><img src="https://agentmods.dev/badge/skills/chengxu999/bayeslab-ion/bayeslab-ion-research/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/chengxu999/bayeslab-ion/bayeslab-ion-research"><img src="https://agentmods.dev/badge/skills/chengxu999/bayeslab-ion/bayeslab-ion-research.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 | $0.00077 | $0.00690 |
| Opus 5 | $0.00039 | $0.00345 |
| Sonnet 5 | $0.00015 | $0.00138 |
| Haiku 4.5 | $0.00008 | $0.00069 |
Grade A, and why
bayeslab-ion-research 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bayeslab ION Research
Use the Bayeslab ION MCP tools as a structured research system. Distinguish published, reviewed ION output from a newly requested external analysis job.
Choose The Workflow
Published research
Use this path when the user asks what ION already says about a company.
- Resolve the company with
list_companiesorget_company_overview. - Read
periodStageas the current screening status for the selected period. - Use
get_company_analysisfor the chained L1/L2 report. - Use
get_company_addonsonly when governance or beneficial ownership detail is relevant. - Use
get_company_period_historyfor change over time. - State the period and distinguish ION conclusions from your own inference.
Do not treat deprecated overallStatus or finalVerdict fields as the source
of truth. A manual Good Idea designation is editorial judgment and is separate
from the automated valuation score.
Industry context
Use list_categories to resolve the category slug, then
get_category_methodology to explain the industry's decision rules. Do not
claim access to Bayeslab's private prompt text.
New analysis
create_analysis_job is a paid action that consumes usage credits. Before
calling it:
- Resolve and show the exact ticker, company name, industry slug, and optional notes.
- Explain that the run creates a new isolated result and places an initial credit reservation. The final charge follows actual provider usage and may exceed the initial reservation when sufficient credits remain.
- Obtain explicit user approval for the credit-consuming action.
Never infer approval from a request to read, compare, or summarize an existing report. Never submit duplicate jobs to speed up a run. External analysis never refreshes or overwrites canonical published ION reports.
After creation, preserve the returned job ID. Poll get_analysis_job with
includeReport omitted or false until the status is terminal. After completion,
call get_analysis_job_report with offset 0. Append the returned content, then
request each nextOffset until hasMore is false. includeReport: true is only
a compatibility shortcut for the first page; it does not return the whole
report.
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.
- 12d ago First seen · 73 lines · 77 tokens per session scan A 0ff798d22d44
bayeslab-ion-research is a skill published in the GitHub repository chengxu999/bayeslab-ion (0 stars, last pushed 1mo ago), licensed MIT. It adds 77 tokens to every session and 690 once invoked, about $0.0004 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.
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