oscal-assessment-results

oscal-assessment-results is a skill for Claude Code from metaschema-framework/claude-plugins. It costs 27 tokens per session (2,166 once invoked), scanned A, original, CC0-1.0.

A structured OSCAL document that records the results of a security assessment, including findings, observations, risks, and supporting evidence. A security assessment checks whether required controls are implemented.

In plain words
What is it for?
Use it to create and work with Security Assessment Results, including control findings, observations, risks, evidence, and continuous-monitoring records.
Why use it?
It keeps assessment conclusions and evidence in a standard format, making results easier to review, track, and connect to the system and assessment plan.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the oscal plugin — 9 skills shipped together

Good fit Use it to create and work with Security Assessment Results, including control findings, observations, risks, evidence, and continuous-monitoring records.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/metaschema-framework/claude-plugins/oscal-assessment-results
Install

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.

Any agent
npx skills add metaschema-framework/claude-plugins --skill oscal-assessment-results
Clone the repo
git clone --depth 1 https://github.com/metaschema-framework/claude-plugins

Made for: Claude Code.

Or install oscal, the plugin that ships this one along with the rest of its 9 skills.

Wrote 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.

agentmods badge for oscal-assessment-results

README.md
[![agentmods](https://agentmods.dev/badge/skills/metaschema-framework/claude-plugins/oscal-assessment-results/github.svg)](https://agentmods.dev/skills/metaschema-framework/claude-plugins/oscal-assessment-results)
Your own site
<a href="https://agentmods.dev/skills/metaschema-framework/claude-plugins/oscal-assessment-results"><img src="https://agentmods.dev/badge/skills/metaschema-framework/claude-plugins/oscal-assessment-results/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.

agentmods 80×15 button for oscal-assessment-results

Your own site · 80×15
<a href="https://agentmods.dev/skills/metaschema-framework/claude-plugins/oscal-assessment-results"><img src="https://agentmods.dev/badge/skills/metaschema-framework/claude-plugins/oscal-assessment-results.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,166 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.02166
Opus 5 $0.00014 $0.01083
Sonnet 5 $0.00005 $0.00433
Haiku 4.5 $0.00003 $0.00217

Measured 11d ago against content hash 370092e3ab3e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

oscal-assessment-results 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.

plugins/oscal/skills/oscal-assessment-results/SKILL.md · 355 lines

How it starts

The opening of the file, as written. The whole thing — 355 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OSCAL Assessment Results (SAR) Model

The Assessment Results model documents findings from security assessments, including observations, risks, and evidence. It captures what was found when executing an assessment plan.

Related skills:

  • oscal-assessment-plan - Plan that guided the assessment
  • oscal-ssp - System that was assessed
  • oscal-poam - Remediation tracking for findings

Purpose

Assessment Results:

  • Document findings from assessment activities
  • Record observations about control implementation
  • Identify risks requiring remediation
  • Provide evidence supporting conclusions
  • Support continuous monitoring and periodic assessments

Document Structure

assessment-results:
  uuid: <unique-identifier>
  metadata:
    title: "System Assessment Results"
    version: "1.0.0"
    oscal-version: "1.1.2"
  import-ap:
    href: "assessment-plan.json"
  local-definitions: {}
  results:
    - uuid: result-uuid
      title: "Annual Assessment Results"
      start: "2024-03-01T00:00:00Z"
      end: "2024-03-15T23:59:59Z"
      reviewed-controls: {}
      findings: []
      observations: []
      risks: []
  back-matter:
    resources: []

Import Assessment Plan

Reference the assessment plan that was executed:

import-ap:
  href: "https://example.com/assessment-plan.json"

Results

Each result represents an assessment period:

results:
  - uuid: "result-uuid"
    title: "Q1 2024 Assessment"
    description: "Quarterly security assessment"
    start: "2024-03-01T00:00:00Z"
    end: "2024-03-15T23:59:59Z"
    props:
      - name: assessment-type
        value: periodic
    reviewed-controls:
      control-selections:
        - include-all: {}
    attestations:
      - responsible-parties:
          - role-id: lead-assessor
            party-uuids:
              - assessor-uuid
        parts:
          - name: attestation-statement
            prose: "This assessment was conducted in accordance with..."

Read the full file on GitHub · 355 lines

Changes

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.

  1. 11d ago First seen · 355 lines · 27 tokens per session scan A 370092e3ab3e

Subscribe to this mod's changes

oscal-assessment-results is a skill published in the GitHub repository metaschema-framework/claude-plugins (10 stars, last pushed 6mo ago), licensed CC0-1.0. It adds 27 tokens to every session and 2,166 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 2026-08-31.

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