Source profileQuality 81/100
affaan-m/ECC/skills/ito-data-atlas-agent/SKILL.md
ito-data-atlas-agent
Design background Data Atlas style agents for Itô basket research, market discovery, parameter drafting, and human-in-the-loop editing. Use for architecture and workflow planning, not live order execution.
- Source repository stars
- 234,327
- Declared platforms
- 0
- Static risk flags
- 0
- Last source update
- 2026-07-27
- Source checked
- 2026-07-28
Decision brief
What it does—and where it fits
Use this skill to design an agent that watches data sources, builds candidate prediction-market baskets, drafts parameter changes, and hands the result to a human for review.
Not for
- Tasks that require unconfirmed production actions or broad system permissions.
- Environments where the pinned source and install steps cannot be inspected.
Compatibility matrix
Platform support, with evidence labels
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
Inspect first. Install second.
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
Source-detected install commandSource
npx skills add https://github.com/affaan-m/ECC --skill "skills/ito-data-atlas-agent"Safe inspection promptEditorial
Inspect the Agent Skill "ito-data-atlas-agent" from https://github.com/affaan-m/ECC/blob/4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38/skills/ito-data-atlas-agent/SKILL.md at commit 4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
What the source asks the agent to do
- 01
Workflow
1. Define the user objective and excluded actions. 2. List data sources and access requirements. 3. Draft a basket spec with provenance for every underlier. 4. Produce editable parameters rather than executable orders. 5. Store an audit trail: inputs, model output, sources, and…
Define the user objective and excluded actions.List data sources and access requirements.Draft a basket spec with provenance for every underlier. - 02
Guardrails
Keep all execution behind explicit human approval.
Keep all execution behind explicit human approval.Require ITOAPIKEY only for read-only Itô data access unless a separateDo not persist private user data unless the target repo already has a storage - 03
Architecture Pattern
1. Research collector: public web, X, GitHub, venue docs, API metadata, and Itô read endpoints when gated access exists. 2. Basket drafter: turns sources into candidate underliers, weights, rules, and questions. 3. Risk reviewer: checks data freshness, venue limits, resolution a…
Research collector: public web, X, GitHub, venue docs, API metadata, andBasket drafter: turns sources into candidate underliers, weights, rules, andRisk reviewer: checks data freshness, venue limits, resolution ambiguity, - 04
Useful Skill Chains
deep-research for source collection.
deep-research for source collection.x-api for current social/event signal.ito-market-intelligence for venue and underlier context.
Permission review
Static risk signals and limitations
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
Why each signal appears
EvidenceSourceComputedTestedEditorial
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 81/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 234,327 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Provenance and original SKILL.md
- Repository
- affaan-m/ECC
- Skill path
- skills/ito-data-atlas-agent/SKILL.md
- Commit
- 4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38
- License
- MIT
- Collected
- 2026-07-28
- Default branch
- main
View the original SKILL.md
Itô Data Atlas Agent
Use this skill to design an agent that watches data sources, builds candidate prediction-market baskets, drafts parameter changes, and hands the result to a human for review.
This skill describes architecture and workflow. It does not run live trading.
Guardrails
- Keep all execution behind explicit human approval.
- Require
ITO_API_KEYonly for read-only Itô data access unless a separate private implementation explicitly adds execution controls. - Do not persist private user data unless the target repo already has a storage contract and the user asks for it.
- Do not expose private strategy logic, venue credentials, or local paths in public docs.
Architecture Pattern
Use four lanes:
- Research collector: public web, X, GitHub, venue docs, API metadata, and Itô read endpoints when gated access exists.
- Basket drafter: turns sources into candidate underliers, weights, rules, and questions.
- Risk reviewer: checks data freshness, venue limits, resolution ambiguity, compliance notes, and prompt-injection exposure.
- Human editor: opens a chat or UI state where the user can approve, reject, adjust, or ask for more research.
Workflow
- Define the user objective and excluded actions.
- List data sources and access requirements.
- Draft a basket spec with provenance for every underlier.
- Produce editable parameters rather than executable orders.
- Store an audit trail: inputs, model output, sources, and human decision.
Useful Skill Chains
deep-researchfor source collection.x-apifor current social/event signal.ito-market-intelligencefor venue and underlier context.ito-basket-comparefor user knowledge-base matching.prediction-market-risk-reviewbefore any execution-capable integration.
Output Contract
Return an implementation-ready workflow spec with:
- data sources
- access gates
- agent roles
- human approval points
- storage/audit boundary
- non-goals
Alternatives
Compare before choosing
Computed 997
event4u-app/agent-config
design-review
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
Computed 9631,966
K-Dense-AI/scientific-agent-skills
neuropixels-analysis
Analyze Neuropixels extracellular recordings end-to-end with SpikeInterface. Covers loading SpikeGLX/Open Ephys/NWB data, preprocessing, drift/motion correction, Kilosort4 (and CPU) spike sorting, quality metrics, and unit curation (threshold-based, model-based UnitRefine, and AI-assisted visual review). Use when working with Neuropixels 1.0/2.0 recordings, spike sorting, or extracellular electrophysiology analysis.
Computed 9531,966
K-Dense-AI/scientific-agent-skills
scientific-brainstorming
Facilitates evidence-aware scientific ideation with independent generation, structured discussion, explicit assumptions, transparent evaluation, adversarial review, and decision logs. Use for early-stage research brainstorming or prioritizing candidate directions; hand off empirical validation, study design, ethics or regulatory review, and clinical questions to appropriate experts or skills.
Computed 9431,966
K-Dense-AI/scientific-agent-skills
citation-management
Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.