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/rjmurillo/ai-agents/analystgit clone --depth 1 https://github.com/rjmurillo/ai-agentsWrote 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/rjmurillo/ai-agents/analyst)<a href="https://agentmods.dev/commands/rjmurillo/ai-agents/analyst"><img src="https://agentmods.dev/badge/commands/rjmurillo/ai-agents/analyst.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 | $0.00023 | $0.00308 |
| Opus 5 | $0.00012 | $0.00154 |
| Sonnet 5 | $0.00005 | $0.00062 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
analyst 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.
What it actually says
PR Quality Gate - Analyst Review
Run the analyst quality gate locally on your current changes before pushing.
Context
Branch Information
Use the Bash tool to run git branch --show-current to determine the current branch.
Use $ARGUMENTS as the base branch if provided, otherwise default to main.
Review Criteria
Apply the criteria from: @.github/prompts/pr-quality-gate-analyst.md
Changed Files
Use the Bash tool to run git diff "<base_branch>" --name-only to list changed files.
Full Diff
Use the Bash tool to run git diff "<base_branch>" to obtain the full diff.
Output Format
Provide your verdict in EXACTLY this format. Do not add preambles, explanations, or additional text before the verdict:
VERDICT: [PASS|WARN|CRITICAL_FAIL]
MESSAGE: [One sentence summary]
[Detailed findings following prompt structure]
Then emit a fenced JSON block conforming to .agents/schemas/pr-quality-gate-output.schema.json with "agent": "analyst".
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 · 50 lines · 23 tokens per session scan A 287362eb029a
analyst is a command published in the GitHub repository rjmurillo/ai-agents (45 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 308 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.
Other commands, from other repositories
load-session
Load a synced session summary for context.
statusline
Configure which sections appear in the Claude Code statusline.
02_execute
Execute a plan (auto-moves pending to in-progress) with Ralph Loop TDD pattern.
add-integration
Add support for a new service (like Slack, Notion, or GitHub) with full OAuth and API integration.
update-model-rubric
Research the current LLM landscape and update Carmenta's model routing rubrics with latest models, capabilities, and pricing.
best-of
Research how the best products handle a feature, analyze their approaches, then design our ideal version.