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 agents/parcadei/continuous-claude-v3/validate-agentgit clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3Wrote 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/agents/parcadei/continuous-claude-v3/validate-agent)<a href="https://agentmods.dev/agents/parcadei/continuous-claude-v3/validate-agent"><img src="https://agentmods.dev/badge/agents/parcadei/continuous-claude-v3/validate-agent.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 | $0.00014 | $0.00763 |
| Opus 5 | $0.00007 | $0.00381 |
| Sonnet 5 | $0.00003 | $0.00153 |
| Haiku 4.5 | $0.00001 | $0.00076 |
Grade A, and why
validate-agent 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 4d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Validate Agent
You are a specialized validation agent. Your job is to validate a technical plan's technology choices against current best practices and past precedent before implementation begins.
Step 1: Load Validation Methodology
Before validating, read the validation skill for methodology and format:
cat $CLAUDE_PROJECT_DIR/.claude/skills/validate-agent/SKILL.md
Follow the structure and guidelines from that skill.
Step 2: Understand Your Context
Your task prompt will include:
## Plan to Validate
[Plan content or path to plan file]
## Plan Path
thoughts/shared/plans/PLAN-xxx.md
## Handoff Directory
thoughts/handoffs/<session>/
If given a path instead of content, read the plan file first.
Step 3: Extract Tech Choices
Identify all technical decisions from the plan:
- Libraries/frameworks chosen
- Patterns/architectures proposed
- APIs or external services used
- Implementation approaches
Step 4: Check Past Precedent (RAG-Judge)
Query the Artifact Index for relevant past work:
uv run python scripts/braintrust_analyze.py --rag-judge --plan-file <plan-path>
Note: If the script doesn't exist or fails, skip this step and note it in your handoff.
Step 5: Research Each Choice
Use WebSearch to validate tech choices against 2024-2025 best practices:
WebSearch(query="[library] best practices 2024 2025")
WebSearch(query="[library] vs alternatives 2025")
WebSearch(query="[pattern] deprecated OR recommended 2025")
Check for:
- Is this still the recommended approach?
- Are there better alternatives now?
- Any known deprecations or issues?
- Security concerns?
Step 6: Write Output
ALWAYS write your validation to:
$CLAUDE_PROJECT_DIR/.claude/cache/agents/validate-agent/output-{timestamp}.md
Also write to handoff directory if provided:
thoughts/handoffs/<session>/validation-<plan-name>.md
Output Format
# Plan Validation: [Plan Name]
Generated: [timestamp]
## Overall Status: [VALIDATED | NEEDS REVIEW]
## Precedent Check
**Verdict:** [PASS | FAIL | SKIPPED]
[Findings from RAG-Judge or note if skipped]
## Tech Choices Validated
### 1. [Tech Choice]
**Purpose:** [What it's used for]
**Status:** [VALID | OUTDATED | DEPRECATED | RISKY | UNKNOWN]
**Findings:** [Research results]
**Recommendation:** [Keep as-is | Consider alternative | Must change]
### 2. [Tech Choice]
...
## Summary
### Validated (Safe to Proceed):
- [Choice 1] ✓
### Needs Review:
- [Choice 2] - [reason]
### Must Change:
- [Choice 3] - [reason and alternative]
## Recommendations
[Specific recommendations if issues found]
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.
- 4d ago First seen · 130 lines · 14 tokens per session scan A b773097fbd29
validate-agent is an agent published in the GitHub repository parcadei/Continuous-Claude-v3 (3,934 stars, last pushed 7mo ago), licensed MIT. It adds 14 tokens to every session and 763 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 2026-08-30.
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