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 skills add metaschema-framework/claude-plugins --skill oscal-assessment-resultsgit clone --depth 1 https://github.com/metaschema-framework/claude-pluginsWrote 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/metaschema-framework/claude-plugins/oscal-assessment-results)<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.
<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>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 | $0.00027 | $0.02166 |
| Opus 5 | $0.00014 | $0.01083 |
| Sonnet 5 | $0.00005 | $0.00433 |
| Haiku 4.5 | $0.00003 | $0.00217 |
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.
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 assessmentoscal-ssp- System that was assessedoscal-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..."
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.
- 11d ago First seen · 355 lines · 27 tokens per session scan A 370092e3ab3e
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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