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/andrewaltimit/template-repo/codebase-analysis-pipelinegit clone --depth 1 https://github.com/AndrewAltimit/template-repoWrote 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/andrewaltimit/template-repo/codebase-analysis-pipeline)<a href="https://agentmods.dev/agents/andrewaltimit/template-repo/codebase-analysis-pipeline"><img src="https://agentmods.dev/badge/agents/andrewaltimit/template-repo/codebase-analysis-pipeline.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 | $0.00000 | $0.03970 |
| Opus 5 | $0.00000 | $0.01985 |
| Sonnet 5 | $0.00000 | $0.00794 |
| Haiku 4.5 | $0.00000 | $0.00397 |
Grade A, and why
codebase-analysis-pipeline 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 5d 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 — 583 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Codebase Analysis & Issue Creation Pipeline
Overview
This document describes a two-stage automated pipeline for continuous codebase improvement:
- Daily Codebase Analysis Pipeline - Deep inspection of main branch with automated issue creation
- Multi-Agent Backlog Refinement Pipeline - Scheduled review of backlog items by multiple agents
The workflow follows the existing pattern: Issues are created with analysis data, admin reviews and approves via [Approved] comment, then the Issue Monitor Agent creates PRs.
[Daily Analysis] → [Issues Created] → [Admin Review] → [Approved] → [PR Created]
↓
[Backlog Refinement]
↓
[Multi-Agent Comments]
Part 1: Daily Codebase Analysis Pipeline
Purpose
Automatically pull main branch, perform deep analysis, and create GitHub issues for:
- Code quality improvements
- Security vulnerabilities
- Performance optimizations
- Technical debt reduction
- Documentation gaps
- Test coverage improvements
- Dependency updates
- Architectural refactoring opportunities
Architecture
┌─────────────────────────────────────────────────────────────────────┐
│ Daily Codebase Analysis Pipeline │
├─────────────────────────────────────────────────────────────────────┤
│ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ Pull Main │───▶│Deep Analysis │───▶│ Deduplicate │ │
│ │ Branch │ │ Agents │ │ & Filter │ │
│ └──────────────┘ └──────────────┘ └──────────────┘ │
│ │ │ │
│ ▼ ▼ │
│ ┌──────────────┐ ┌──────────────┐ │
│ │ Claude │ │Create Issues │ │
│ │ Gemini │ │ On Board │ │
│ │ Codex │ └──────────────┘ │
│ │ OpenCode │ │ │
│ └──────────────┘ ▼ │
│ ┌──────────────┐ │
│ │Admin Review │ │
│ │ Required │ │
│ └──────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────────┘
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.
- 5d ago First seen · 583 lines · 0 tokens per session scan A d6382d0fed8e
codebase-analysis-pipeline is an agent published in the GitHub repository AndrewAltimit/template-repo (131 stars, last pushed 2mo ago), licensed Unlicense. It costs nothing until one of its globs matches a file; then it loads 3,970 tokens. 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 agents, from other repositories
Executive PM
Maintain the health of the repository as an open-source resource — issues, labels, milestones, changelog, contributing docs, and community standards.
Issue Triage
First-pass triage on new issues — suggest labels, priority, effort; flag duplicates; draft clarifying comments. Does not close or merge without human confirmation.
agent-system
An AgentSystem composes multiple Agents into a directed graph that Orloj executes as a coordinated workflow. The graph defines how messages flow between agents during task execution.
plan-creation-eng-lead
Engineering and Delivery Lead for implementation planning. Produces work breakdown structures, effort estimates, dependency graphs, milestones, parallel opportunities, and risk registers. Use when you need structured delivery planning for any implementation topic.
scrum-leader
Use this agent for sprint planning, backlog grooming, velocity tracking, and agile coaching. Deploy when: (1) Sprint boundaries reached (day 1, 7, 14 of 2-week cycle), (2) Backlog grooming needed or estimation sessions required, (3) Daily standup aggregation and impediment tracking, (4) Velocity drift detected (>15%…
compliance
The Compliance agent protects your project from legal and regulatory risk. It audits dependency licenses for compatibility (is that GPL-3.0 package going to force your MIT project open-source?), checks data handling against GDPR requirements (do you have a data inventory? can users request deletion?), verifies WCAG…