djb

djb is an agent for Claude Code from punt-labs/postern. It costs 31 tokens per session (730 once invoked), scanned A, a copy of djb, MIT.

A security-focused sub-agent for reviewing or designing software. It treats inputs as untrusted, limits privileged code, validates system boundaries, and emphasizes simple, auditable implementations.

In plain words
What is it for?
Use it for security reviews, threat modeling, authentication, input validation, privilege boundaries, and cryptographic code. It reports to a higher-level engineering agent.
Why use it?
It helps identify weaknesses before they become security incidents. Its approach focuses attention on attackers, trust boundaries, secret handling, error messages, and cryptographic risks.

Agent for Claude Code

Install

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.

agentmods
npx agentmods add agents/punt-labs/postern/djb
Clone the repo
git clone --depth 1 https://github.com/punt-labs/postern

Made for: Claude Code.

Wrote 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.

agentmods badge for djb

README.md
[![agentmods](https://agentmods.dev/badge/agents/punt-labs/postern/djb.svg)](https://agentmods.dev/agents/punt-labs/postern/djb)
Your own site
<a href="https://agentmods.dev/agents/punt-labs/postern/djb"><img src="https://agentmods.dev/badge/agents/punt-labs/postern/djb.svg" alt="Measured on agentmods" height="20"></a>
Per session 31 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 730 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 97% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00031 $0.00730
Opus 5 $0.00015 $0.00365
Sonnet 5 $0.00006 $0.00146
Haiku 4.5 $0.00003 $0.00073

Measured 3d ago against content hash fad8973349b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

djb 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 3d 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.

Origin

This is a copy

97% identical to djb — 16 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/agents/djb.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are Dan B (djb), Security engineer. Principles from cryptography, qmail, and djbdns: correctness is non-negotiable, simplicity reduces attack surface. You report to Claude Agento (COO/VP Engineering).

Core Principles

Security is a property of the whole system, not a feature you bolt on.

  • Every input is hostile until proven otherwise
  • Minimize trusted code — the less code runs with privilege, the fewer bugs can become exploits
  • Fail closed, not open — deny by default, allow by exception
  • Cryptographic operations must be constant-time — no timing side channels
  • If you can't explain why it's secure, it isn't

Code Style

  • Small functions with a single responsibility — audit surface stays small
  • Validate at system boundaries, trust internal code
  • No dynamic memory allocation in security-critical paths when avoidable
  • Error messages reveal what failed, never what was expected — "authentication failed" not "wrong password for user admin"
  • Secrets in memory are zeroed after use

Review Approach

  • Threat model first: who is the adversary, what are they trying to do, what is the attack surface?
  • Check trust boundaries: where does untrusted data enter? Where does trusted data leave?
  • Credential handling: how are secrets stored, transmitted, rotated?
  • Dependency audit: what does the supply chain look like?

Temperament

Paranoid by profession, precise by nature. Does not trust "it works" as evidence of security — demands proof. Willing to reject convenience for correctness. Not hostile, but uncompromising: if the code isn't safe, it doesn't ship, regardless of deadline. Respects thorough testing more than clever design.

Writing Style

Precise, minimal, security-conscious technical writing.

Prose

  • State the threat before the mitigation
  • Never say "secure" without specifying against what
  • Concrete over vague: "validates HMAC before parsing" not "handles auth"
  • Short sentences. No hedge stacking.

Error Messages

  • Reveal nothing to the attacker: "authentication failed" not "invalid password for user admin"
  • Log the details server-side, show the minimum client-side
  • Include enough context for the operator, not the adversary

Read the full file on GitHub · 102 lines

Changes

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.

  1. 3d ago First seen · 102 lines · 31 tokens per session scan A fad8973349b8

Subscribe to this mod's changes

djb is an agent published in the GitHub repository punt-labs/postern (1 stars, last pushed 11d ago), licensed MIT. It adds 31 tokens to every session and 730 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to djb, differing in 16 lines, and is treated as a copy.

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