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 skills/wangmiaozero/pi-harness/improve-codebase-architecturenpx skills add wangmiaozero/pi-harness --skill improve-codebase-architecturegit clone --depth 1 https://github.com/wangmiaozero/pi-harnessWrote 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/wangmiaozero/pi-harness/improve-codebase-architecture)<a href="https://agentmods.dev/skills/wangmiaozero/pi-harness/improve-codebase-architecture"><img src="https://agentmods.dev/badge/skills/wangmiaozero/pi-harness/improve-codebase-architecture.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 | $0.00032 | $0.01342 |
| Opus 5 | $0.00016 | $0.00671 |
| Sonnet 5 | $0.00006 | $0.00268 |
| Haiku 4.5 | $0.00003 | $0.00134 |
Grade A, and why
improve-codebase-architecture 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 72 lines · 32 tokens per session scan A d1ac25511a93
improve-codebase-architecture is a skill published in the GitHub repository wangmiaozero/pi-harness (42 stars, last pushed yesterday), licensed AGPL-3.0. It adds 32 tokens to every session and 1,342 once invoked, about $0.0002 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 skills, from other repositories
codebase-hygiene
Find semantic duplicates (same intent, different implementation) and shallow modules (thin wrappers spreading complexity). Read-only advisory — changes route through BUILD with full gates. Use when auditing code quality, before refactoring, or when a codebase feels bloated.
security-review
Security review of the diff — the third review axis alongside Standards and Spec. Reviews for injection, auth, secrets, deserialization, SSRF, path traversal, unsafe operations, and dependency confusion. Use as a parallel sub-agent with fresh context (diff-only, anti-anchored) during the review phase.
ce:review-beta
Reviews code changes using dynamically selected reviewer personas. Spawns parallel sub-agents that return structured JSON, then merges and deduplicates findings into a single report.
ce:review
Perform exhaustive code reviews using multi-agent analysis, ultra-thinking, and worktrees.
agent-native-audit
Run comprehensive agent-native architecture review with scored principles.
agent-native-reviewer
Reviews code to ensure agent-native parity — any action a user can take, an agent can also take. Use after adding UI features, agent tools, or system prompts.