Borrowing it
Nothing to install: this file belongs to prof-little-bear/cc-equity-research. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/prof-little-bear/cc-equity-research/main/.claude/commands/discover.mdgit clone --depth 1 https://github.com/prof-little-bear/cc-equity-researchWrote 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/commands/prof-little-bear/cc-equity-research/discover)<a href="https://agentmods.dev/commands/prof-little-bear/cc-equity-research/discover"><img src="https://agentmods.dev/badge/commands/prof-little-bear/cc-equity-research/discover/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/commands/prof-little-bear/cc-equity-research/discover"><img src="https://agentmods.dev/badge/commands/prof-little-bear/cc-equity-research/discover.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 | $0.00020 | $0.00482 |
| Opus 5 | $0.00010 | $0.00241 |
| Sonnet 5 | $0.00004 | $0.00096 |
| Haiku 4.5 | $0.00002 | $0.00048 |
Grade A, and why
discover 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 9d 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.
What it actually says
The user invoked /discover. This is the idea-discovery category.
Step 1 — Routing.
- If
$ARGUMENTSclearly matches one of the skills below (e.g., "themes", "supply-chain on NVDA", "screen for value"), go straight to Step 3. - Otherwise, ask the user which lens they want. Present the menu below verbatim (table or numbered list) and end with the default closer: "or just describe what you want — I'll route."
Step 2 — Menu to present:
| # | Skill | Use when |
|---|---|---|
| 1 | themes |
reading what the market is rewarding from the numbers up, no sector bias |
| 2 | supply-chain |
mapping upstream / downstream from a name or theme to find hidden champions |
| 3 | alt-plays |
finding a better-priced expression of a thesis you already hold |
| 4 | gov-contracts |
federal contract awards as a leading revenue indicator |
| 5 | idea-generation |
systematic screens — value / growth / quality / short / special-situation |
| 6 | sector-overview |
sector-level state of play |
End with: "Or just describe what you want — I'll pick the right lens."
Step 3 — Load and follow:
- 1 / themes →
community-skills/discover/themes.md - 2 / supply-chain →
community-skills/discover/supply-chain.md - 3 / alt-plays →
community-skills/discover/alt-plays.md - 4 / gov-contracts →
community-skills/discover/gov-contracts.md - 5 / idea-generation →
anthropic-equity-research-skills/idea-generation/SKILL.md - 6 / sector-overview →
anthropic-equity-research-skills/sector-overview/SKILL.md - Free-text → match to the closest skill; ask one clarifying question only if truly ambiguous.
Read the chosen file and execute its workflow.
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.
- 9d ago First seen · 37 lines · 20 tokens per session scan A 20f769442b7b
discover is a command published in the GitHub repository prof-little-bear/cc-equity-research (88 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 20 tokens to every session and 482 once invoked, about $0.0001 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.
Other commands, from other repositories
research
Professional equity research analysis with institutional-grade formatting.
cost-report
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budget
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realestate
Conduct real estate due diligence, title analysis, and transaction review.
late-fee
Calculate late fees with compound interest.
strategic-brief
Generate a comprehensive strategic brief by coordinating analysis from both financial and talent perspectives.