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 commands/mlunato47/claude-grc-plugin/sar-responsegit clone --depth 1 https://github.com/mlunato47/claude-grc-pluginWrote 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/commands/mlunato47/claude-grc-plugin/sar-response)<a href="https://agentmods.dev/commands/mlunato47/claude-grc-plugin/sar-response"><img src="https://agentmods.dev/badge/commands/mlunato47/claude-grc-plugin/sar-response.svg" alt="Measured on agentmods" 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 | $0.00006 | $0.01246 |
| Opus 5 | $0.00003 | $0.00623 |
| Sonnet 5 | $0.00001 | $0.00249 |
| Haiku 4.5 | $0.00001 | $0.00125 |
Grade A, and why
sar-response 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 6d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- sar-response — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/grc:sar-response
Help draft structured responses to SAR (Security Assessment Report) findings.
Usage
/grc:sar-response [framework?] [action?]
The user pastes a SAR finding after invoking the command.
Arguments
- framework (optional):
fedramp,nist,fisma. Defaults tofedramp. - action (optional):
respond(default): Draft a structured response to a findingdisagree: Draft a response disagreeing with a finding (false positive or risk acceptance)template: Show the blank response template structure
Examples
/grc:sar-response fedramp
/grc:sar-response fedramp respond
/grc:sar-response fedramp disagree
/grc:sar-response template
Behavior
When invoked:
-
Display the Data Sensitivity Notice at the top of every response (see SKILL.md Data Handling section). SAR findings may contain system-specific vulnerability details.
-
Read the appropriate reference files:
skills/grc-knowledge/audits/sar-response-patterns.mdfor response templates and quality checklistskills/grc-knowledge/audits/document-section-requirements.mdfor POA&M field requirementsskills/grc-knowledge/conmon/poam-management.mdfor severity SLAs
-
For
respondaction:Analyze the pasted finding and generate a structured response covering:
a. Acknowledgment
- Confirm understanding of the finding
- Note agreement or partial agreement
b. Root Cause Analysis
- Suggest root cause categories based on the finding type (operational, documentation, technical)
- Provide placeholder language the user can customize
- Avoid suggesting root causes that evaluate security posture
c. Remediation Plan
- Suggest specific, actionable remediation steps
- Include role placeholders for responsible parties
- Calculate target dates based on severity SLA
- Suggest granular milestones (not just "remediate")
d. Interim Mitigations
- Suggest interim mitigations appropriate to the finding type
- For Critical/High: emphasize urgency of interim controls
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.
- 6d ago First seen · 159 lines · 6 tokens per session scan A d9f9ffd5be22
sar-response is a command published in the GitHub repository mlunato47/claude-grc-plugin (181 stars, last pushed 1mo ago), licensed MIT. It adds 6 tokens to every session and 1,246 once invoked, about $0.0000 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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