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/cognesy/instructor-php/cheatsheetgit clone --depth 1 https://github.com/cognesy/instructor-phpWhat 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 | $0.00018 | $0.09736 |
| Opus 5 | $0.00009 | $0.04868 |
| Sonnet 5 | $0.00004 | $0.01947 |
| Haiku 4.5 | $0.00002 | $0.00974 |
Grade A, and why
CHEATSHEET 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 657 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agents Package Cheatsheet
Root namespace: Cognesy\Agents
This file is a quick, code-aligned map of the package surface.
For narrative guidance and examples, use packages/agents/docs/*.md.
1. Core Loop
AgentLoop(readonly)- main orchestrator, implements
CanControlAgentLoopandCanAcceptEventHandler - key API:
default(),execute(),iterate() - accessors:
tools(),toolExecutor(),driver(),eventHandler(),interceptor() - composition API:
withTool(),withTools(),withDriver(),withToolExecutor(),withInterceptor(),withEventHandler(),with() - event API:
wiretap(),onEvent() - note: terminal executions are auto-reset on entry to
execute()/iterate()
- main orchestrator, implements
CanControlAgentLoop- contract:
execute(AgentState): AgentState,iterate(AgentState): iterable
- contract:
2. State Model
Data\AgentState- immutable runtime state
- factories:
empty(),fromArray() - identity:
agentId(),parentAgentId(),llmConfig(),executionCount(),createdAt(),updatedAt() - common mutators:
withUserMessage(string|\Stringable|Message),withSystemPrompt(string|\Stringable),withMetadata(),withMessages(),withMessageStore(),withLLMConfig(),with() - step mutators:
withCurrentStep(),withCurrentStepCompleted(),withExecutionCompleted(),withExecutionContinued() - stop/failure:
withStopSignal(),withFailure(),withExecutionStatus() - context access:
context(),store(),messages(),metadata() - result access:
finalResponse(),currentResponse(),hasFinalResponse() - execution access:
execution(),status(),stepCount(),steps(),usage(),errors(),hasErrors() - last-step accessors:
lastStep(),lastStepExecution(),lastStepToolExecutions(),lastToolExecution(),lastStepErrors(),lastStepType(),lastStepUsage(),lastStepDuration() - stop accessors:
stopSignal(),stopReason(),stopSource() - control:
shouldStop(),forNextExecution() - serialization:
debug(),toArray(),fromArray()
Data\ExecutionState- per-execution transient state (
executionId, status, steps, continuation)
- per-execution transient state (
Data\AgentStep- one loop step snapshot (
inputMessages,outputMessages,inferenceResponse,toolExecutions,errors)
- one loop step snapshot (
Data\StepExecution- completed step wrapper with timing
Data\ToolExecution- one executed tool call (
value(),hasError(),errorAsString(),wasBlocked())
- one executed tool call (
Data\ExecutionBudget- optional limits:
maxSteps,maxTokens,maxSeconds,maxCost,deadline - factories:
unlimited() - queries:
isEmpty(),isExhausted()
- optional limits:
Data\AgentId,Data\ExecutionId,Data\AgentStepId,Data\ToolExecutionId- typed ID value objects
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.
- 2d ago First seen · 657 lines · 18 tokens per session scan A 7a85ce0733eb
CHEATSHEET is an agent published in the GitHub repository cognesy/instructor-php (326 stars, last pushed 2d ago), licensed MIT. It adds 18 tokens to every session and 9,736 once invoked, about $0.0001 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 2026-08-30.
Other agents, from other repositories
dynamic-agents
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openai-sdk
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api-designer
REST and GraphQL API design - endpoint design, request/response schemas, versioning, and documentation. Use for designing new APIs or evolving existing ones.
accessibility-specialist
Accessibility expert: WCAG 2.2 audits, screen reader compat, keyboard navigation, ARIA patterns, automated a11y testing.
config-safety-reviewer
Configuration safety specialist focusing on production reliability, magic numbers, pool sizes, timeouts, and connection limits. Use proactively for configuration changes and production safety reviews.
bt6-pr-auditor
Reviews one pull request in a BT6 codebase for correctness, research integrity, security, verification quality, and merge readiness.