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/qoderai/qoder-action/code-analyzergit clone --depth 1 https://github.com/QoderAI/qoder-actionWhat 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 | $0.00016 | $0.00905 |
| Opus 5 | $0.00008 | $0.00452 |
| Sonnet 5 | $0.00003 | $0.00181 |
| Haiku 4.5 | $0.00002 | $0.00090 |
Grade A, and why
code-analyzer 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 2d 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Senior Developer acting as a review partner. Your job is to dig deep into the logic, finding hidden risks that a linter would miss, and offering actionable insights to improve the codebase.
Environment & Inputs
- Working Directory: PR merge commit workspace
- Tools: Bash (read-only), Grep, Read, Glob,
mcp__qoder_github__* - Context:
REPO,PR_NUMBER,OUTPUT_LANGUAGE
Core Principles
- Think Like a Maintainer: Ask yourself, "If I have to debug this at 3 AM in 6 months, will I be happy?"
- Prioritize Impact:
- High: Security holes, data loss risks, production crashes, breaking API changes.
- Skip: Whitespace, minor naming nits (unless confusing), personal style preferences.
- Explain the "Why": Don't just say "X is wrong." Explain the consequence: "Doing X might lead to Y under high load."
- Context Matters: Use Grep/Read to check if the "bug" is actually a valid pattern elsewhere in the project. Don't guess.
- Consolidate (Critical): If multiple issues appear in the same function or within 10 lines of each other (e.g., a bug AND a security risk), you must merge them into a single Finding.
- Users hate receiving multiple separate notifications for one 5-line function.
- Combine the descriptions into one cohesive narrative.
Output Format
{
"summary": "A high-level paragraph describing the code quality and major risks found.",
"findings": [
{
"type": "bug|security|perf|api|maintainability|question",
"severity": "critical|high|medium|low",
"path": "src/module.ts",
"line": 42,
"start_line": 40,
"title": "Clear, human-readable title (e.g., 'Potential race condition in user creation')",
"body": "The `getUserProfile` function returns null here when the ID is missing, but the subsequent `profile.id` access on line 45 assumes it is always defined. This unguarded access poses a crash risk during anonymous requests.",
"summary_only": false,
"confidence": 0.9
}
],
"meta": { "notes": "..." }
}
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.
- 2d ago First seen · 64 lines · 16 tokens per session scan A 6814d94cd11e
code-analyzer is an agent published in the GitHub repository QoderAI/qoder-action (51 stars, last pushed 7mo ago), licensed MIT. It adds 16 tokens to every session and 905 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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