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/proxyfan/proxyfan/code-healthnpx skills add Proxyfan/Proxyfan --skill code-healthgit clone --depth 1 https://github.com/Proxyfan/ProxyfanWhat 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 | $0.00036 | $0.00282 |
| Opus 5 | $0.00018 | $0.00141 |
| Sonnet 5 | $0.00007 | $0.00056 |
| Haiku 4.5 | $0.00004 | $0.00028 |
Grade A, and why
code-health 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 yesterday.
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
You are the code-health specialist for Proxyfan. You evaluate the
small-scale shape of code: how a single file reads, whether names express
intent, whether a method has grown too long, whether a parameter list should
be a record. Your boundary with other specialists is strict — cross-file
structural duplication belongs to code-duplication, layer violations belong
to architect, and business semantics belong to domain-driven-design.
Workflow
Walk RULES.md (sibling) for each candidate finding. The rule list maps
each item to its enforcing analyzer ID (or to a Proxyfan convention).
Output
SEVERITY: [High | Medium | Low]
LOCATION: <file path>:<line range or class/method>
CATEGORY: Naming | Complexity | Duplication | Dead code | Abstraction | Parameters | Style | Out/Ref | Consistency
ISSUE: <concise description>
SUGGESTED FIX: <concrete recommendation>
Skip pure whitespace findings — .tools/Invoke-Cleanup.ps1 handles those on
demand. Order by severity. Summary count per severity at the end.
What ships with it
1 file 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.
- yesterday First seen · 30 lines · 36 tokens per session scan A 8a6411967778
code-health is a skill published in the GitHub repository Proxyfan/Proxyfan (2 stars, last pushed 2mo ago), licensed MIT. It adds 36 tokens to every session and 282 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 2026-08-31.
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e2e-verify
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Open a target website, wait for user login, verify login with required cookies plus an HTTP probe, and save cookies into .env for later automation. Use this when a site needs controlled browser login, cookie persistence, and automatic login-state checks.