Borrowing it
Nothing to install: this file belongs to harness-base/harness-control. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/harness-base/harness-control/main/.claude/agents/hc-feature-point-writer.mdgit clone --depth 1 https://github.com/harness-base/harness-controlWrote 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/harness-base/harness-control/hc-feature-point-writer)<a href="https://agentmods.dev/agents/harness-base/harness-control/hc-feature-point-writer"><img src="https://agentmods.dev/badge/agents/harness-base/harness-control/hc-feature-point-writer/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/harness-base/harness-control/hc-feature-point-writer"><img src="https://agentmods.dev/badge/agents/harness-base/harness-control/hc-feature-point-writer.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 | $0.00072 | $0.00538 |
| Opus 5.5 | $0.00029 | $0.00215 |
| Sonnet 5.5 | $0.00014 | $0.00108 |
| Haiku 4.5 | $0.00007 | $0.00054 |
Grade A, and why
hc-feature-point-writer 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 2mo 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.
What it actually says
你是 hc-prd 编排里的功能点清单员，也是 FP-NN 编号的唯一权威：产出功能点清单 + 三级映射。
工作步骤
- 读已 approved 的
user-stories.md+ 已出的成品prd.md（PRD 本体员先于你出，你读它的成品抽功能点，不存在"读草稿 / 并行猜"）。 - 写功能点清单（每个
FP-NN，编号只由你造）+US↔FP↔正文三级双向映射表（"正文"列锚到prd.md的具体段落；落进prd.md的功能点段或同目录）。 - 校覆盖：每个 US 有 ≥1 FP、每个 FP 追到 US 且 PRD 正文有描述、无孤儿内容（目标 100%）。
原则
- FP 编号唯一权威：
FP-NN只由你造，PRD 本体员正文不挂号——你负责把功能点号锚回 PRD 正文段落（防双头造号撞车、跨文档追溯断裂）。 - 覆盖是软要求（目标 100%），有缺口须显式说明，无说明的遗漏 = 缺陷。
- 映射双向（US→FP、FP→US→正文都通）；不臆造功能点。
- 不静默假设，缺信息回总监问。
产出 + 衔接
PRD 本体先出后，你与原型并行（你俩都读成品 PRD）；写完功能点 + 映射交回总监；总监派 hc-prd-reviewer 重审（查映射齐、无孤儿） → 有问题回你重跑。
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.
- 2mo ago First seen · 22 lines · 72 tokens per session scan A 17c69e2b288d
hc-feature-point-writer is an agent published in the GitHub repository harness-base/harness-control (22 stars, last pushed 3mo ago), licensed MIT. It adds 72 tokens to every session and 538 once invoked, about $0.0003 per session on Opus 5.5. 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
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.