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 rules/sparesparrow/cursor-rules/14-prompt-chaining-workflow.rulesgit clone --depth 1 https://github.com/sparesparrow/cursor-rulesWrote 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/rules/sparesparrow/cursor-rules/14-prompt-chaining-workflow.rules)<a href="https://agentmods.dev/rules/sparesparrow/cursor-rules/14-prompt-chaining-workflow.rules"><img src="https://agentmods.dev/badge/rules/sparesparrow/cursor-rules/14-prompt-chaining-workflow.rules.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.01421 |
| Opus 5 | $0.00000 | $0.00711 |
| Sonnet 5 | $0.00000 | $0.00284 |
| Haiku 4.5 | $0.00000 | $0.00142 |
Grade B, and why
14-prompt-chaining-workflow.rules scanned grade B with 1 finding 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 5d 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
# Format prompt with previous output prompt = step['template'].format( The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 5d ago First seen · 274 lines · 0 tokens per session scan B f85f06eade05
14-prompt-chaining-workflow.rules is a cursor rule published in the GitHub repository sparesparrow/cursor-rules (73 stars, last pushed 8mo ago), licensed GPL-3.0. It costs nothing until one of its globs matches a file; then it loads 1,421 tokens. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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co-dialectic
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prompt-routing
Route tasks to the correct Universal AI Engineering Prompt.
prompting-for-qe
Soạn/tinh chỉnh prompt cho tác vụ QE (sinh test case, phân tích requirement, tóm tắt tài liệu test, phân tích log) — đặc biệt khi output AI lan man, chung chung, bịa, hoặc muốn chốt prompt thành template tái dùng.
llm-zod-jsonschema
Best Practice for LLM Output Parsing with Zod and JSON Schema.
prompt-evals
Prompt eval fixtures — case design, assertions, versioning, CI gates, no PII in golden data.