Aeon Deep ResearchSAFE
Bankr Skills equip builders with plug-and-play tools to build more powerful agents.
Overview
Bankr Skills equip builders with plug-and-play tools to build more powerful agents.
4029e336cef5OBSERVED · 2026-10-09What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: aeon-deep-research description: | Exhaustive multi-source research on a topic with attributed claims, a mandatory adversarial counterpoint, and an open-questions list. Analyst-grade — claims are tagged with source class (primary / expert / secondary / market signal) and confidence, contradicting sources are named rather than averaged. Use when the cost of being wrong exceeds an hour of research. Triggers: "deep research X", "DD on Y", "build me a memo on Z", "contrarian take on X". --- # aeon-deep-research For when a one-line summary won't cut it. Pulls from primary sources first (filings, contracts, official docs), expert sources second (named researchers, audit reports), secondary third (media, newsletters), market signal last (price action, prediction markets) — and tags every claim with its source class. ## Inputs | Param | Description | |---|---| | `topic` | Plain-English topic. Required. | | `mode` | `research` (default), `brief` (top 5 findings only), `contrarian` (bias toward dissent). | ## Output structure 1. **Thesis** — one paragraph. 2. **Findings** — bullets, each tagged `[primary]` / `[expert]` / `[secondary]` / `[market]` and `[established]` / `[likely]` / `[contested]`. 3. **Adversarial section** — the sharpest counter-argument, sourced. Mandatory. If the consensus is genuinely right, explain why the dissent is weak. 4. **Open questions** — what would change the conclusion, and what data would resolve it. 5. **Sources** — deduplicated, primary first. ## Rules - Contradicting sources are named, not averaged. "Source A says X; source B says not-X; reconciliation: ..." - Linked-tweet-citing-thread-citing-press-release is not Primary. - Adversarial section is mandatory. No skip on quiet days. - Open questions force honesty about what isn't known.
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
4029e336cef5full audit observations/trust-audit/skill/bankrbot__aeon-deep-research.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-09 | 4029e336cef5 | SAFE | B | 89 | first audit |
Questions
What does the Aeon Deep Research skill do?
Bankr Skills equip builders with plug-and-play tools to build more powerful agents.
Is Aeon Deep Research safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Aeon Deep Research access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (4029e336cef5), read on 2026-10-09. The repository is watched, and a new audit runs when it changes — this is the first audit.