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 iFurySt/aifi --skill company-research-workflowgit clone --depth 1 https://github.com/iFurySt/aifiWrote 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/ifuryst/aifi/company-research-workflow)<a href="https://agentmods.dev/skills/ifuryst/aifi/company-research-workflow"><img src="https://agentmods.dev/badge/skills/ifuryst/aifi/company-research-workflow/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/ifuryst/aifi/company-research-workflow"><img src="https://agentmods.dev/badge/skills/ifuryst/aifi/company-research-workflow.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 | $0.00074 | $0.00683 |
| Opus 5 | $0.00037 | $0.00342 |
| Sonnet 5 | $0.00015 | $0.00137 |
| Haiku 4.5 | $0.00007 | $0.00068 |
Grade A, and why
company-research-workflow 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 11d 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.
Company Research Workflow
Use this skill when the user asks for a complete company-level investment research run. It composes narrower skills and keeps the persistent archive as the shared memory layer.
Workflow
- Run
research-target-resolver. - Run
research-evidence-archiveto create or load the target archive. - Decide which collection skills are needed for the user's question.
- Run independent collection skills in parallel when possible:
company-news-research,company-filing-research,earnings-call-analysis,financial-snapshot-analysis,market-signal-analysis,competitive-landscape-analysis,investment-risk-diligence, andvaluation-scenario-analysiswhen valuation, margin of safety, or price-implied expectations matter. - Save all source notes and raw files through
research-evidence-archive. - Run
investment-thesis-synthesisonly after evidence coverage is visible. - Run
portfolio-exposure-reviewwhen the user asks about sizing, adding, trimming, holding, watchlists, or portfolio fit. - Return the final artifact paths, major findings, gaps, and suggested next research runs.
Read references/intel-example-workflow.md for the default Intel-like scenario.
Skill Selection
- User asks "what happened recently": prioritize target, archive, news, filings, earnings, market, then thesis.
- User asks "is the business improving": prioritize filings, earnings, financials, competitors, risks, then thesis.
- User asks "why did the stock move": prioritize news, earnings, market, then filings if the event is disclosure-driven.
- User asks "how does it compare": prioritize target, financials, competitors, market, then thesis.
- User asks "what is it worth" or "is it priced in": prioritize target, financials, filings, peers, market, risks, valuation scenarios, then thesis.
- User asks "what can go wrong": prioritize target, filings, earnings, news, financials, market, risk diligence, then thesis.
- User asks "how much should I own" or "does this fit my portfolio": prioritize target, thesis, valuation, risks, market, portfolio context, then portfolio exposure review.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 73 lines · 74 tokens per session scan A 6eee135ce8bf
company-research-workflow is a skill published in the GitHub repository iFurySt/aifi (22 stars, last pushed 1mo ago), licensed MIT. It adds 74 tokens to every session and 683 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 2026-08-30.
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