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 agentmods add skills/microsoft/agent-framework/risk-scoringnpx skills add microsoft/agent-framework --skill risk-scoringgit clone --depth 1 https://github.com/microsoft/agent-frameworkWhat 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 | $0.00047 | $0.00226 |
| Opus 5 | $0.00023 | $0.00113 |
| Sonnet 5 | $0.00009 | $0.00045 |
| Haiku 4.5 | $0.00005 | $0.00023 |
Grade A, and why
risk-scoring 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 2d 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
Usage
When the user asks about portfolio risk or concentration:
- Read
references/risk-bands.mdto understand the score bands and what drives them. - Compute each holding's market value (shares × price) — use the
get_stock_pricetool for current prices if you do not already have them. - Run
scripts/risk_score.pywith one--position VALUEargument per holding, e.g.--position 18518 --position 17201 --position 16177. - Report the 0-100 score, the band it falls in, and the largest single-position weight, then suggest (in general terms) whether the portfolio looks well diversified or concentrated.
Remind the user this is a crude concentration measure, not a complete risk model, and not advice.
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.
- 2d ago First seen · 19 lines · 47 tokens per session scan A 95adb629d7f9
risk-scoring is a skill published in the GitHub repository microsoft/agent-framework (13,222 stars, last pushed 2d ago), licensed MIT. It adds 47 tokens to every session and 226 once invoked, about $0.0002 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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