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/usethefork/synapse/agent-lifecyclegit clone --depth 1 https://github.com/UseTheFork/synapseWhat 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 | $0.00000 | $0.00867 |
| Opus 5 | $0.00000 | $0.00434 |
| Sonnet 5 | $0.00000 | $0.00173 |
| Haiku 4.5 | $0.00000 | $0.00087 |
Grade A, and why
agent-lifecycle 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Lifecycle
One of the most powerful features of Synapse is the Agent Lifecycle, which governs how an agent executes its tasks and allows for modification at various stages.
PendingAgentTask
The PendingAgentTask class drives the agent's execution and stores all information about the current run. This class provides several public methods that can be accessed and modified:
addInput(string $key, mixed $value): Adds an input to the array used to generate the prompt.agent(): Returns the agent instance.currentIteration(): Returns theCurrentIterationobject containing the raw response and message.inputs(): Retrieves the current input array.getInput(string $key): Retrieves a specific input by key.iterationMemory(): Accesses the agent's memory for the current task.tools(): Retrieves the tools available to the agent.
Lifecycle
The agent lifecycle is divided into the following stages:
Initialize Agent
The agent is set up, and all hooks are initialized.
To modify the agent at this stage, use the
HasBootAgentHookin the Hook Traits section.
Code Calls the handle Method
The handle method is invoked, a new CurrentIteration is created, and the inputs and extraAgentArgs are set.
$simpleAgent = new SimpleAgent;
$result = $agent->handle(['input' => 'hello!'], ['model' => 'gpt-4o-mini']); // [!code highlight]
To modify the agent at this stage, use the
HasStartThreadHookin the Hook Traits section.
Start 'Iteration Loop'
The 'Iteration Loop' begins by executing the StartIterationPipeline. Each loop iteration triggers all pipelines, which are executed multiple times if the agent calls multiple tools.
To modify the agent at this stage, use the
HasStartIterationHookin the Hook Traits section.
Get Prompt
The agent combines the view with inputs to create the prompt.
To modify the agent at this stage, use the
HasPromptGeneratedHookin the Hook Traits section.
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 · 85 lines · 0 tokens per session scan A 4cabd546d31f
agent-lifecycle is an agent published in the GitHub repository UseTheFork/synapse (50 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 867 tokens. 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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