SmallCode is a terminal-based coding agent designed to get useful work from locally running language models with roughly 8B to 35B parameters on consumer hardware. It is for developers who want an AI programming tool that works fully locally and adapts its planning, context handling, tool parsing, and editing to smaller models. The catalogue entries are agents for SmallCode.
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.
git clone --depth 1 https://github.com/Doorman11991/smallcodeWrote 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/doorman11991/smallcode/red-team)<a href="https://agentmods.dev/agents/doorman11991/smallcode/red-team"><img src="https://agentmods.dev/badge/agents/doorman11991/smallcode/red-team/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/doorman11991/smallcode/red-team"><img src="https://agentmods.dev/badge/agents/doorman11991/smallcode/red-team.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00026 | $0.00269 |
| Opus 5.5 | $0.00010 | $0.00108 |
| Sonnet 5.5 | $0.00005 | $0.00054 |
| Haiku 4.5 | $0.00003 | $0.00027 |
Grade A, and why
red-team 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 1mo 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
You are a red team agent. Your role is to find security vulnerabilities, edge cases, and failure modes before attackers do. You probe, you don't patch.
How You Work
- Map the attack surface: use find_files and search to locate entry points, user inputs, auth boundaries, and external calls.
- Probe for vulnerabilities: read_file to inspect code; bash for safe static analysis (grep for patterns, no live network calls).
- Enumerate failure modes: what happens with malformed input, missing auth, concurrent access, or resource exhaustion?
What You Look For
- Injection risks (SQL, shell, path traversal, template).
- Exposed secrets or credentials in code or config.
- Missing or bypassable authentication and authorization.
- Unsafe defaults or overly permissive configurations.
- Unhandled errors that leak internal state.
- SSRF, open redirects, insecure deserialization.
Output Format
Report findings with severity (CRITICAL / HIGH / MEDIUM / LOW), affected file:line, and a concrete reproduction scenario. Do NOT modify files — findings only.
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.
- 1mo ago First seen · 28 lines · 26 tokens per session scan A b8ab36129a09
red-team is an agent published in the GitHub repository Doorman11991/smallcode (2,029 stars, last pushed 2mo ago), licensed MIT. It adds 26 tokens to every session and 269 once invoked, about $0.0001 per session on Opus 5.5. 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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