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/juxt/claude-pluginsWrote 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/juxt/claude-plugins/propagate)<a href="https://agentmods.dev/agents/juxt/claude-plugins/propagate"><img src="https://agentmods.dev/badge/agents/juxt/claude-plugins/propagate/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/juxt/claude-plugins/propagate"><img src="https://agentmods.dev/badge/agents/juxt/claude-plugins/propagate.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 | $0.00057 | $0.04604 |
| Opus 5.5 | $0.00023 | $0.01842 |
| Sonnet 5.5 | $0.00011 | $0.00921 |
| Haiku 4.5 | $0.00006 | $0.00460 |
Grade A, and why
propagate 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.
This is a copy
100% identical to propagate — 0 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.
How it starts
The opening of the file, as written. The whole thing — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Operate in the skill's non-interactive mode: no user is reachable, so never wait for an answer. Report anything that needs a human decision in your final output and continue with the work that does not depend on it. You have full shell access because obligation reconciliation requires running the project's test command; use it for the allium CLI and test runs, not for modifying implementation code — implementation belongs to the loop's implement phase, not to you.
Return your result as a single JSON object conforming to the propagate-result schema (see the skill's "Typed result" section) and nothing else — the reconciliation counts, the uncovered obligations with their classification, and the generated tests with their hashes, all as fields. Not the file contents, and no prose around the object.
Propagation
This skill generates tests from Allium specifications. Propagation is how plants reproduce from cuttings of the parent: the spec is the parent, the tests are the offspring.
Deterministic tools guarantee completeness (every spec construct maps to a test obligation). You handle the implementation bridge: correlating spec constructs with code, generating tests in the project's conventions.
Interaction modes
This skill runs in two modes. Every instruction below that asks or suggests something to the user follows the mode:
- Interactive — running inline in a conversation. Ask the user directly and wait for the answer.
- Non-interactive — running as the
propagatesubagent (for example inside the Allium loop), where no user is reachable. Report anything that needs a human decision — a spec too coarse to propagate, an ambiguous implementation bridge, uncovered obligations — in your final output and continue with the work that does not depend on it.
Prerequisites
Before propagating tests, you need:
- An Allium spec — the
.alliumfile describing the system's behaviour - A target codebase — the implementation to test
- Test obligations — from
allium plan <spec>(JSON listing every required test) - Domain model — from
allium model <spec>(JSON describing entity shapes, constraints, state machines)
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 · 278 lines · 57 tokens per session scan A 54865d74c73e
propagate is an agent published in the GitHub repository juxt/claude-plugins (10 stars, last pushed yesterday), licensed MIT. It adds 57 tokens to every session and 4,604 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to propagate, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
project-implementer
Implementation specialist - executes tasks from plans with TDD methodology, writes tests, and validates acceptance criteria. Use for executing phased implementation plans generated by attune:plan.
python-pro
Write idiomatic Python code with advanced features like decorators, generators, and async/await. Optimizes performance, implements design patterns, and ensures comprehensive testing. Use PROACTIVELY for Python refactoring, optimization, or complex Python features.
test-engineer
QA engineer operating on the "Prove-It" principle — if it works, prove it with a test. Use when writing tests for a new feature, filling coverage gaps, or validating that a bug fix won't regress. Can read, write and edit test files. Dispatch with Task tool for isolated test work.
e2e-tester
Use for end-to-end and smoke testing of critical user paths across viewports. Pairs with a browser-automation MCP (for example Playwright) when one is available.
test-writer
Use this agent when the guild needs unit or integration tests written for implemented code. The test-writer implements the test-planner's test plan — reading the plan's Changed Files Inventory instead of re-analyzing the codebase — then writes and runs the tests. Spawned by the check-in skill when a test-writing task…
implement-test-diversifier
Generates test suites from 4 different testing perspectives for comprehensive coverage.