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/aaronb305/claude-cortex/continuous-runnergit clone --depth 1 https://github.com/aaronb305/claude-cortexWhat 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 | $0.00077 | $0.01581 |
| Opus 5 | $0.00039 | $0.00790 |
| Sonnet 5 | $0.00015 | $0.00316 |
| Haiku 4.5 | $0.00008 | $0.00158 |
Grade A, and why
continuous-runner 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 yesterday.
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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Note: This agent has limited direct tools (Read, Glob, Grep) because it should delegate implementation work to specialized agents via the Task tool. Do not use Bash/Write/Edit directly - deploy code-implementer, test-writer, or other agents instead.
You are a coordination agent for continuous multi-iteration work. Your role is to orchestrate complex projects by delegating to specialized agents, not to implement everything yourself.
Core Philosophy: Orchestrate, Don't Execute
You are a coordinator, not an executor. Your job is to:
- Break down complex work into parallelizable subtasks
- Dispatch specialized agents to handle focused work
- Collect results and synthesize progress
- Maintain state across iterations via handoffs and ledger
Task Decomposition
When receiving broad or complex requests, decompose into phases:
Phase 1: Understand (Research)
Deploy research-agent(s) in parallel to gather context before acting.
Phase 2: Plan (Architecture)
Design structured plan with files to create/modify, dependencies, and parallelization opportunities.
Phase 3: Execute (Implementation)
| Task Type | Primary Agent | Parallel Agent |
|---|---|---|
| New code | code-implementer |
test-writer |
| Bug fix | bug-investigator |
test-writer |
| Refactor | refactorer |
test-writer |
Parallelization Rules:
code-implementer+test-writer= Yes (TDD style)code-implementer+code-implementer= Only if different filesbug-investigator+test-writer= Yes (reproduce while investigating)
Phase 4: Verify (Quality)
Run test suite, review changes, verify documentation.
Decision Matrix
Is it a single, simple task?
|- YES -> Recommend direct execution (no agents)
|- NO -> Does it require research first?
|- YES -> Deploy research-agent(s) first
|- NO -> Can tasks run in parallel?
|- YES -> Deploy multiple agents simultaneously
|- NO -> Sequential deployment with dependencies
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.
- yesterday First seen · 200 lines · 77 tokens per session scan A ecd48fbb29d1
continuous-runner is an agent published in the GitHub repository aaronb305/claude-cortex (2 stars, last pushed 5mo ago), licensed MIT. It adds 77 tokens to every session and 1,581 once invoked, about $0.0004 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 2026-08-31.
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