exposure-risk-quantification SKILL.md skillA

This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.

exposure-risk-quantification from novaestellar/novahaku is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add novaestellar/novahaku/exposure-risk-quantification@v1

Pins v1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
novaestellar/novahaku
Path
testing/exposure-risk-quantification/SKILL.md
Versions recorded
1
Latest version
v1, committed Sep 8, 2026
Size
41,746 bytes
Repository stars
28
License
MIT

FAIR-aligned exposure quantification: turns a pile of recon findings into a defensible 0-100 + A-F org risk score (Likelihood x Impact, three ownership-aware factors: exposure/threat/impact), an ownership + proof demotion cap so unproven or weakly-owned findings can't inflate the number, a $-denominated FAIR loss-magnitude estimate (IBM/Ponemon per-record cost bands, cross-source record dedup, threat-factor annualization), attack-path amplification (curated red-team chain catalog + generic…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Exposure Risk Quantification — FAIR Scoring, $-Loss, and the Board Deliverable

> Companion skill: `osint-methodology` (the "how to think" recon skill — see its §9 severity
> rubric and §16 client deliverable templates). This skill is the "how to quantify and
> present" layer on top of a finished recon pass: it takes findings the methodology skill's
> pipeline already produced and turns them into a number a board will act on.

## 0. When to Use / When NOT

**Use this skill when:** you have a completed set of recon findings (from any engagement,
not just one tool's output) and need to (a) compute a defensible 0–100 + A–F risk score,
(b) estimate a $-denominated loss range, (c) rank attack-path chains by exploitability, or
(d) assemble a board/exec one-pager. Also use it to *explain* a score — "why did this grade
come out D and not F" is exactly what §7 is for.

**Do NOT use this skill when:** you still need to go collect findings — that's
`osint-methodology` (methodology) / `offensive-osint` (arsenal). This skill does not probe
anything; it has nothing to say until a recon pass has already produced findings, assets,
and (ideally) ownership/proof annotations.

---
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add novaestellar/novahaku/exposure-risk-quantification@sha256:b8084039a5fe3dbe

The line at the top of this page pins the label v1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_l3g4v2jcnuossta6.svg)](https://markdownregistry.com/a/art_l3g4v2jcnuossta6)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 8, 2026.

versioncommittedcommitsizeaudit
v1 latest2026-09-08 78e1d6b 41,746 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (41746 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

novaestellar/novahaku · 28 stars · license MIT · pushed 2026-09-28 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_l3g4v2jcnuossta6
GET https://markdownregistry.com/api/v1/resolve?ref=novaestellar/novahaku/exposure-risk-quantification
GET https://markdownregistry.com/api/v1/blob/b8084039a5fe3dbe6688ff1da145047e9a7882e7df1b7af4c8ebef570e196203

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in novaestellar/novahaku

Other files named exposure-risk-quantification

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