PAUL is a structured development workflow for Claude Code that organizes AI-assisted work into planning, implementation, and state-reconciliation steps. It is for developers who want acceptance criteria, managed context, and completed plans while building software with Claude Code. Its catalogue entries are commands that implement the workflow.
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/ChristopherKahler/paulWrote 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/commands/christopherkahler/paul/apply)<a href="https://agentmods.dev/commands/christopherkahler/paul/apply"><img src="https://agentmods.dev/badge/commands/christopherkahler/paul/apply/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/commands/christopherkahler/paul/apply"><img src="https://agentmods.dev/badge/commands/christopherkahler/paul/apply.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 | $0.00009 | $0.00493 |
| Opus 5.5 | $0.00004 | $0.00197 |
| Sonnet 5.5 | $0.00002 | $0.00099 |
| Haiku 4.5 | $0.00001 | $0.00049 |
Grade A, and why
paul:apply 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
When to use: After PLAN phase complete and plan is approved.
Executes tasks in sequence, pauses at checkpoints for user input, reports completion.
<execution_context>
@/.claude/paul-framework/workflows/apply-phase.md
@/.claude/paul-framework/references/checkpoints.md
</execution_context>
@.paul/STATE.md
Execute tasks sequentially. For each task:
- Read task definition
- Execute action
- Run verification
- Confirm done criteria
checkpoint:decision
- Present decision context and options
- Wait for user selection
- Record decision
- Continue execution
checkpoint:human-verify
- Present what was built
- Present verification steps
- Wait for "approved" or issue description
- If issues: address and re-verify
- Continue execution
checkpoint:human-action
- Present required action
- Wait for "done" confirmation
- Continue execution
<success_criteria>
- All tasks executed
- All checkpoints handled
- User informed of completion
- Next action clear (run /paul:unify) </success_criteria>
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 · 84 lines · 9 tokens per session scan A 7807c1e5c1b5
paul:apply is a command published in the GitHub repository ChristopherKahler/paul (1,252 stars, last pushed 1mo ago), licensed MIT. It adds 9 tokens to every session and 493 once invoked, about $0.0000 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.
Other commands, from other repositories
f5-gate
Quality gate management with evidence collection.
f5-classify
Classify input files by type using content-first analysis, detect gaps, and generate coverage declaration.
f5-implement
Implement features and fix bugs with traceability.
f5-design
Generate design documents and specifications (D1-D4).
f5-import
Import documents - single, batch, analyze, or schema management.
f5-agent
Manage AI agents, personas, and get smart suggestions.