Borrowing it
Nothing to install: this file belongs to sreenathvemula/finance-research-agent. 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/sreenathvemula/finance-research-agent/main/.claude/skills/risk-profile-screen/SKILL.mdgit clone --depth 1 https://github.com/sreenathvemula/finance-research-agentWrote 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/sreenathvemula/finance-research-agent/risk-profile-screen)<a href="https://agentmods.dev/skills/sreenathvemula/finance-research-agent/risk-profile-screen"><img src="https://agentmods.dev/badge/skills/sreenathvemula/finance-research-agent/risk-profile-screen/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/sreenathvemula/finance-research-agent/risk-profile-screen"><img src="https://agentmods.dev/badge/skills/sreenathvemula/finance-research-agent/risk-profile-screen.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 | $0.00151 | $0.01731 |
| Opus 5 | $0.00076 | $0.00865 |
| Sonnet 5 | $0.00030 | $0.00346 |
| Haiku 4.5 | $0.00015 | $0.00173 |
Grade A, and why
risk-profile-screen 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 10d 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Risk-appetite screen
Turn a vague "how much risk am I comfortable with" into concrete, transparent screening criteria — and show what those criteria actually cost (who got excluded, and by how much), not just the final list. This is still pure screening: evidence and ranking, never advice.
Procedure
-
Elicit the profile. Ask up to 4 questions in ONE
AskUserQuestioncall (its limit is 4 questions/call). If the user has already stated preferences in plain text, don't re-ask — map what they said directly. If they decline/dismiss the question UI, fall back to a sensible default (Moderate / Large+Mid cap / Reasonable growth premium / Long-term) and say so plainly, rather than blocking.- Risk tolerance: Conservative / Moderate (recommended default) / Aggressive
- Market-cap comfort: Large-cap only / Large + Mid cap (recommended default) / All caps including small & micro
- Valuation discipline: Strict margin of safety / Reasonable growth premium OK (recommended default) / Growth-at-any-reasonable-price
- Time horizon: Long-term compounding, 5-10y (recommended default) / Medium-term, 1-3y / Short-term / momentum-aware
-
Translate to concrete thresholds — combine independently, don't cross-multiply into a giant table:
Risk tolerance max debt_equity max annualized_volatility_pct max_drawdown_pct floor min avg_daily_value_cr Conservative 0.3 25 -40 5 Moderate 0.75 40 -55 2 Aggressive 2.0 70 (none) 0.5 Make the drawdown floor concrete, not abstract — show the recovery arithmetic. A drawdown is not symmetric: recovering from a -40% drawdown needs a +67% gain to get back to par; from -55%, a +122% gain; from -70%, a +233% gain (
recovery% = drawdown% / (1-drawdown%)). State this once, next to whichevermax_drawdown_pctfloor the profile lands on, so "I'm fine with Aggressive" is chosen with the real math in view, not just a label.
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.
- 10d ago First seen · 107 lines · 151 tokens per session scan A 218d728b11cf
risk-profile-screen is a skill published in the GitHub repository sreenathvemula/finance-research-agent (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 151 tokens to every session and 1,731 once invoked, about $0.0008 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 2026-08-31.
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