CCPM Project Management
automazeio/ccpm
Runs a spec-driven workflow from PRD to epic to GitHub issues to parallel agents, with status, standup and blocked-work reports from bundled scripts.
Device-track catalyst analysis: 510(k), PMA, and De Novo decision events, CMS coverage and NTAP milestones, recalls and watch actions as risk signals, and post-market surveillance obligations —…
Install Fda Catalyst Devices
$ npx skills add agentii-ai/agentii-investment-intelligence --skill fda-catalyst-devices -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence fda-catalyst-devices --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/vertical-plugins/bio-pharm/skills/agentii/fda-catalyst-devices .claude/skills/fda-catalyst-devices && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "fda-catalyst-devices" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/fda-catalyst-devices into .claude/skills/fda-catalyst-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fda-catalyst-devices", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/fda-catalyst-devicesType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add agentii-ai/agentii-investment-intelligence --skill fda-catalyst-devices -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence fda-catalyst-devices --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/vertical-plugins/bio-pharm/skills/agentii/fda-catalyst-devices .agents/skills/fda-catalyst-devices && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fda-catalyst-devices" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/fda-catalyst-devices into .agents/skills/fda-catalyst-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fda-catalyst-devices", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentii-ai/agentii-investment-intelligence --skill fda-catalyst-devices -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence fda-catalyst-devices --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/vertical-plugins/bio-pharm/skills/agentii/fda-catalyst-devices .cursor/skills/fda-catalyst-devices && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "fda-catalyst-devices" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/fda-catalyst-devices into .cursor/skills/fda-catalyst-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fda-catalyst-devices", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/agentii-ai/agentii-investment-intelligence.git --path plugins/vertical-plugins/bio-pharm/skills/agentii/fda-catalyst-devices--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add agentii-ai/agentii-investment-intelligence --skill fda-catalyst-devices -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence fda-catalyst-devices --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/vertical-plugins/bio-pharm/skills/agentii/fda-catalyst-devices .gemini/skills/fda-catalyst-devices && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "fda-catalyst-devices" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/fda-catalyst-devices into .gemini/skills/fda-catalyst-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fda-catalyst-devices", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install agentii-ai/agentii-investment-intelligence fda-catalyst-devicesInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add agentii-ai/agentii-investment-intelligence --skill fda-catalyst-devices -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/vertical-plugins/bio-pharm/skills/agentii/fda-catalyst-devices .github/skills/fda-catalyst-devices && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "fda-catalyst-devices" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/fda-catalyst-devices into .github/skills/fda-catalyst-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fda-catalyst-devices", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentii-ai/agentii-investment-intelligence --skill fda-catalyst-devices -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence fda-catalyst-devices --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/vertical-plugins/bio-pharm/skills/agentii/fda-catalyst-devices .opencode/skills/fda-catalyst-devices && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "fda-catalyst-devices" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/fda-catalyst-devices into .opencode/skills/fda-catalyst-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fda-catalyst-devices", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
fda-catalyst-devices- GitHub stars
- 207
- Token cost
- ~1.9k tokens
- SKILL.md length
- 720 words
- Files
- 3 (incl. references)
- Skills in repo
- 79
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Device-track catalyst analysis: 510(k), PMA, and De Novo decision events, CMS coverage and NTAP milestones, recalls and watch actions as risk signals, and post-market surveillance obligations —…
- Works in 4 steps: Structured decision data:… → Filing context: search_documents /… → Coverage and NTAP milestones:… → …
- Tasks that involve Project management
- SKILL.md covers Defaults, Preflight, Triggers and Production Grounding, plus 11 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Fda Catalyst Devices is an agent skill from agentii-ai/agentii-investment-intelligence. Device-track catalyst analysis: 510(k), PMA, and De Novo decision events, CMS coverage and NTAP milestones, recalls and watch actions as risk signals, and post-market surveillance obligations — dated, verified, and sized per event for any medtech ticker or watchlist.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/knowledge-frameworks.md` and `references/modes.md`).
It sits in Product & Project Management, covering Project management. The repository describes itself as: Claude-type skills for institutional equity research — 25 AI agent skills with SEC filings, XBRL financials, earnings calendars, DCF/comps/LBO models, and PPT generation. Powered… The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Project management
Example prompts
- “/fda-catalyst-devices”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Structured decision data: get_device_decision (device_decision_event); asset identity via search_universe_devices / get_company_devices.
- Filing context: search_documents / search_sec_filings for PMA submissions, recall disclosures, MDRs.
- Coverage and NTAP milestones: search_documents keyword coverage/NTAP + read_source_outline/read_source_pages.
- Historical grounding: search_investment_cases (device decision/recall events), search_by_analogue.
What it can do on your machine
Read from SKILL.md and the folder at commit 86980e1. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Fda Catalyst Devices loads about 1.9k tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 72 tokens; SKILL.md has 720 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from agentii-ai/agentii-investment-intelligence at commit 86980e1, republished under its Apache-2.0 licence (© agentii-ai). 720 words, ~1,884 tokens.
Download SKILL.mdSave it as
.claude/skills/fda-catalyst-devices/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- fda-catalyst-devices
- description
- Device-track catalyst analysis: 510(k), PMA, and De Novo decision events, CMS coverage and NTAP milestones, recalls and watch actions as risk signals, and post-market surveillance obligations — dated, verified, and sized per event for any medtech ticker or watchlist.
- sectors
- med.medicines_biotech, med.medical_devices
- multi_ticker_semantics
- basket_v1_1
- temporal_scope.default_quarters
- 4
- temporal_scope.max_quarters
- 8
- temporal_scope.description
- Forward catalyst window default 4 quarters; up to 8 for long-horizon coverage and surveillance mapping.
- retrieval_scope
- unstructured_document_search
- min_tool_diversity
- 3
- parameter_free
- false
Methodology inspired by publicly taught medtech catalyst frameworks; all text is an original paraphrase.
Defaults
| Parameter | Default Value | Rationale |
|---|---|---|
| forward_window_quarters | 4 | Standard catalyst window; extend to 8 on request |
| include_superseded | false | Active-only events by default; supersede chains on request |
| coverage_lens | true | Coverage and NTAP milestones tracked alongside decision events |
| recall_scan | true | Recalls and watch actions surfaced as risk signals by default |
| holiday_labeling | true | Holiday-shifted weeks flagged on every calendar row |
Preflight
Run canonical pre-flight per contracts/preflight.md. Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md — carry the _run_id from your first tool result and name yourself (and your parent, if you were spawned). Confirm ticker resolution via search_companies before catalyst queries.
Triggers
- "What device decisions (510(k)/PMA/De Novo) are coming up for [ticker]?"
- "When is the PMA decision date for [device/ticker]?"
- "Which medtech names have device decisions this quarter?"
- "What coverage or NTAP milestones are pending for [ticker]?"
- "Has [ticker] had any recalls or watch-list actions recently?"
- "Build a device catalyst calendar for my medtech watchlist."
- "How do De Novo classifications differ from 510(k) as catalysts?"
- "Evaluate the approval odds for [device] ahead of its panel."
- "What post-market surveillance obligations does [ticker] carry?"
- "Which device decisions overlap with [ticker]'s earnings date?"
- "How did similar devices trade around their decision dates?"
- "What is the installed-base story behind [ticker]'s next label expansion?"
Production Grounding
- Device decision tracks: 510(k) clearance (substantial equivalence), PMA approval (higher evidence bar), De Novo classification (novel low-to-moderate-risk path) — each carries a binary-event dynamic.
- Reimbursement is the second gate: CMS coverage determinations and NTAP milestones convert an approval into revenue; an approval without a coverage path is a hollow catalyst.
- Recall and watch actions invert the signal: recall classes, watch lists, and post-market surveillance findings are negative catalysts that can compound.
- Device vocabulary: installed base, placements, procedures, utilization, ASP with label-expansion annotations — the commercial context for sizing the post-decision move.
- Never fabricate decision dates, recall classes, or coverage outcomes; annotate coverage gaps (per
references/knowledge-frameworks.md).
Data Source Priority
- Structured decision data:
get_device_decision(device_decision_event); asset identity viasearch_universe_devices/get_company_devices. - Filing context:
search_documents/search_sec_filingsfor PMA submissions, recall disclosures, MDRs. - Coverage and NTAP milestones:
search_documentskeyword coverage/NTAP +read_source_outline/read_source_pages. - Historical grounding:
search_investment_cases(device decision/recall events),search_by_analogue.
Methodology
Retrieval Scope
unstructured_document_search
Retrieval Strategy
- Resolve ticker(s) via
search_companies; collect company_id for device queries. - Pull active decision events (
get_device_decision) and asset inventory (get_company_devices). - Overlay coverage/NTAP milestones and recall/watch actions from filings.
- For panel meetings, retrieve briefing documents via
read_source_outline/read_source_pages; apply scrutiny axes. - Ground the play:
search_investment_cases/search_by_analoguewith device filters; cite /v/ records.
Show full SKILL.md (294 more words)Show less
Temporal Scope
See frontmatter temporal_scope block. Post-market surveillance windows may require looking back up to 8 quarters.
Tool Allowlist
See frontmatter allowed_tools.
Protocol
- Ticker resolution
- Decision enumeration (510(k) / PMA / De Novo)
- Coverage and NTAP milestone overlay
- Recall and watch risk scan
- Analogue grounding + calendar synthesis
Modes
- Watchlist (default, multi-ticker): one dated calendar with per-ticker sections, sorted by date.
- Single ticker deep-dive: full decision timeline, coverage state, and recall history.
- Event type: restrict to PMA / De Novo / 510(k) / coverage / recalls on request.
- Risk scan: recall and watch actions as a forward-looking risk screen.
Tool Fallbacks
| Failure | Fallback |
|---|---|
| get_device_decision empty | search_documents keyword decision/PMA + search_sec_filings; annotate coverage_gap |
| Coverage milestone not found | Flag reimbursement status unknown; never assume a coverage path |
| Recall data missing | State surveillance data unavailable; do not infer recall classes |
| Knowledge tools empty | Proceed with structured data only; annotate knowledge coverage_gap |
Output File
{ticker}/{YYYY-MM-DD_HHMM}_fda-catalyst-devices_{affix}.md (watchlist: watchlist/{YYYY-MM-DD_HHMM}_fda-catalyst-devices-calendar_{affix}.md)
Output Structure
- Executive Summary — highest-impact device-track catalysts in the window, 2-3 sentences
- Catalyst Calendar — dated table: date, ticker, event type, device, application, holiday-week flag, expected-impact framing
- Per-Event Analysis — decision-track assessment (evidence bar, scrutiny axes) + decision history
- Coverage & Reimbursement State — coverage determinations, NTAP milestones, ASP context
- Recall & Surveillance Scan — recall classes, watch actions, post-market obligations
- Risk Assessment & Coverage Gaps — binary-risk sizing, signal clusters, missing data
Error Handling
| Error | Fallback |
|---|---|
| No device decision rows | Fall back to earnings + pipeline events; annotate coverage_gap — never fabricate dates |
| 510(k) vs PMA ambiguity | State both possibilities with the evidence-bar difference; do not guess the track |
| Ticker not in med universe | Resolve via CIK/device-universe match; surface the classification gap |
Memory Load
See contracts/memory-load.md.
Snapshot
See contracts/snapshot-synthesis.md.
Final Summary (TUI)
Include ### Key Citations block with 0-10 clickable /v/ URLs.
References
contracts/citation-and-memory.mdcontracts/output-frontmatter-schema.mdcontracts/memory-load.mdcontracts/snapshot-synthesis.mdcontracts/preflight.mdreferences/knowledge-frameworks.md
© agentii-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (references) in plugins/vertical-plugins/bio-pharm/skills/agentii/fda-catalyst-devices of agentii-ai/agentii-investment-intelligence.
- SKILL.md
- references/knowledge-frameworks.md
- references/modes.md
Open the folder on GitHubat commit 86980e1
Compare with similar skills
Fda Catalyst Devices next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Fda Catalyst Devices this skillagentii-ai/agentii-investment-intelligence | 207 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| CCPM Project Managementautomazeio/ccpm | 8.4k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Uvastral-sh/claude-code-plugins | 313 | 2 repos | ~980 | Automated safety check: Pass | Apache-2.0 | |
| Project Managementkunchenguid/firstmate | 7.7k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Hivemind Goalsactiveloopai/hivemind | 1.6k | — | ~1.7k | Automated safety check: Notes | Apache-2.0 | |
| Ichartjswanghetommy/ichartjs | 352 | — | ~4.3k | Automated safety check: Pass | Apache-2.0 |
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Questions about Fda Catalyst Devices
What does Fda Catalyst Devices do?
Device-track catalyst analysis: 510(k), PMA, and De Novo decision events, CMS coverage and NTAP milestones, recalls and watch actions as risk signals, and post-market surveillance obligations —…. Fda Catalyst Devices is an agent skill from agentii-ai/agentii-investment-intelligence. Device-track catalyst analysis: 510(k), PMA, and De Novo decision events, CMS coverage and NTAP milestones, recalls and watch actions as risk signals, and post-market surveillance obligations — dated, verified, and sized per event for any medtech ticker or watchlist.
When should I use Fda Catalyst Devices?
Fda Catalyst Devices fits situations like: tasks that involve Project management.
How do I install Fda Catalyst Devices in Claude Code?
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill fda-catalyst-devices -a claude-code`. Or copy the skill folder (plugins/vertical-plugins/bio-pharm/skills/agentii/fda-catalyst-devices in agentii-ai/agentii-investment-intelligence) into .claude/skills/fda-catalyst-devices in your project. Claude Code loads it when a task matches its description.
How do I install Fda Catalyst Devices in Codex?
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill fda-catalyst-devices -a codex`. Or copy the skill folder (plugins/vertical-plugins/bio-pharm/skills/agentii/fda-catalyst-devices in agentii-ai/agentii-investment-intelligence) into .agents/skills/fda-catalyst-devices in your project. Codex loads it when a task matches its description.
Can I use Fda Catalyst Devices in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentii-ai/agentii-investment-intelligence --skill fda-catalyst-devices -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fda-catalyst-devices, .gemini/skills/fda-catalyst-devices, .github/skills/fda-catalyst-devices and .opencode/skills/fda-catalyst-devices in your project.
What does Fda Catalyst Devices need to run?
SKILL.md names no scripts, command-line tools or credentials: Fda Catalyst Devices is instructions for the agent only.
Does Fda Catalyst Devices access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Fda Catalyst Devices safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Fda Catalyst Devices use?
Fda Catalyst Devices is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Fda Catalyst Devices use?
About 1.9k tokens (SKILL.md is roughly 7.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.2k tokens, read only when the agent opens those files.
What are the alternatives to Fda Catalyst Devices?
Skills that share tags, products or a category with Fda Catalyst Devices: CCPM Project Management (automazeio/ccpm, 8.4k stars), Uv (astral-sh/claude-code-plugins, 313 stars), Project Management (kunchenguid/firstmate, 7.7k stars) and Hivemind Goals (activeloopai/hivemind, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Fda Catalyst Devices?
agentii-ai (a GitHub user) maintains it in agentii-ai/agentii-investment-intelligence, which has 207 GitHub stars. The repository holds 79 skills in this directory. The repository was last updated on September 29, 2026.
Source: agentii-ai/agentii-investment-intelligence on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.