ai-issue-report
Reports a reproducible fault to a team or an upstream project — for ai-engineering itself or for any service the client is building — as a governed payload: clo
概览
Reports a reproducible fault to a team or an upstream project — for ai-engineering itself or for any service the client is building — as a governed payload: closed allow-listed fields, scanned for machine paths, personal data (PII) and secrets before anything is written, draft kept local, and the exact bytes shown with their SHA-256 before anybody confirms anything. Trigger for "report this bug", "file an issue", "the framework is broken", "send this upstream", "write the incident report". Not for a fault in your own code that still needs a diagnosis — use /ai-debug first. Not for a vulnerability sent anywhere public: that routes to private disclosure, and this skill refuses the other way.
展开完整说明
以下为来源文档，不是本网站的操作指令。执行命令前请先核实权限。
ai-issue-report — report the fault, collect nothing on the way
What it produces
A local draft (gitignored) plus the exact bytes that would leave, previewed with their SHA-256 — and nothing sent by anybody but the user.
The non-negotiable: what must never leave the machine
The payload is closed to allow-listed fields. Everything else is rejected at the gate, before the draft exists:
- Machine paths — home directories and absolute paths on any OS: they leak the
username and the project layout. The scan names the field and the match
(
ACCEPTANCE_MACHINE_PATH_*); the fix is to describe the same thing without the path. - Personal data (PII) — emails, names, phone numbers, account ids, tokens in URLs.
ACCEPTANCE_PII_*names what was found; rewrite the sentence, not around the value. - Secrets — keys, passwords, session cookies, anything gitleaks would flag.
ACCEPTANCE_GITLEAKS_SECRETis a hard refusal: no draft is written at all. - Logs, diffs, tracebacks, full command lines — there is no field for them, by design. A pasted command carries the path it ran from and often the arguments it ran with. Write the four fields in your own words instead: title, what happened, what you expected, one step per reproduction step.
A vulnerability (--kind security) NEVER becomes a public issue: the refusal prints the
private disclosure route (SECURITY.md, the maintainer's security contact) and declines the
public one before asking anything.
Steps
- Reproduce it first. A report of something that happened once is a report the person reading it cannot act on; the steps field is what makes the difference.
- Decide the kind before writing. Security → private route, always.
- Write the four fields in your own words. Never paste logs, diffs or tracebacks.
- Run the gate. Read the refusal if you get one: each code names what was found and in which field. Rewrite that field in words that do not carry the value — do not work around the scan.
- Read the previewed bytes and their SHA-256. They are exactly what would leave. If anything in there is not yours to publish, stop.
- Sending is separate and manual. Nothing is transmitted automatically: take the previewed bytes to the route your organisation or the upstream project uses (GitHub issue for bugs, SECURITY.md contact for vulnerabilities, your incident channel for incidents).
Writing the prose
The write-up follows the framework's single writing standard — read it before writing the fields: ai-write › references/documentation-writer.md. One idea per sentence, one meaning per word, nothing the environment already says. When the report is long (an incident post-mortem rather than a bug), hand the prose to /ai-write and keep this skill's gate as the last step before publishing.
The ai-engineering seam
- The governed post-mortem lives at
.ai-engineering/reports/NNN-{slug}.html— readable without session context; the NNN numbering is never rewritten. - It is immune while DECISIONS.md cites it; uncited, it expires to gc (§21.3) — history is not rewritten, it is archived in git.
- The gate (paths/PII/secrets) runs on ANY text destined to leave a governed repo — it is the same discipline the git floor's gitleaks stage enforces at commit time, applied one step earlier, to prose.
Routing
In scope: reproducible faults bound for a team, an upstream project, or an incident review. Not for: undiagnosed faults (/ai-debug), internal findings worth remembering (/ai-note), decisions (/ai-plan), the docs themselves (/ai-write).
Lifecycle
Lane: any Writes: .ai-engineering/reports/NNN-{slug}.html Read by: the team, humans without session context Dies: immune while a permanent governor cites it; doctor --gc after older_than when nothing cites it Next: none
Source: ai-engineering v1 skill ai-report (own), Apache-2.0 — renamed ai-issue-report.
文件元数据
name: ai-issue-report description: >- Reports a reproducible fault to a team or an upstream project — for ai-engineering itself or for any service the client is building — as a governed payload: closed allow-listed fields, scanned for machine paths, personal data (PII) and secrets before anything is written, draft kept local, and the exact bytes shown with their SHA-256 before anybody confirms anything. Trigger for "report this bug", "file an issue", "the framework is broken", "send this upstream", "write the incident report". Not for a fault in your own code that still needs a diagnosis — use /ai-debug first. Not for a vulnerability sent anywhere public: that routes to private disclosure, and this skill refuses the other way. license: Apache-2.0
查看原始文本
---
name: ai-issue-report
description: >-
Reports a reproducible fault to a team or an upstream project — for ai-engineering itself
or for any service the client is building — as a governed payload: closed allow-listed
fields, scanned for machine paths, personal data (PII) and secrets before anything is
written, draft kept local, and the exact bytes shown with their SHA-256 before anybody
confirms anything. Trigger for "report this bug", "file an issue", "the framework is
broken", "send this upstream", "write the incident report". Not for a fault in your own
code that still needs a diagnosis — use /ai-debug first. Not for a vulnerability sent
anywhere public: that routes to private disclosure, and this skill refuses the other way.
license: Apache-2.0
---
# ai-issue-report — report the fault, collect nothing on the way
## What it produces
A local draft (gitignored) plus the exact bytes that would leave, previewed with their
SHA-256 — and nothing sent by anybody but the user.
## The non-negotiable: what must never leave the machine
The payload is closed to allow-listed fields. Everything else is rejected at the gate,
before the draft exists:
- **Machine paths** — home directories and absolute paths on any OS: they leak the
username and the project layout. The scan names the field and the match
(`ACCEPTANCE_MACHINE_PATH_*`); the fix is to describe the same thing without the path.
- **Personal data (PII)** — emails, names, phone numbers, account ids, tokens in URLs.
`ACCEPTANCE_PII_*` names what was found; rewrite the sentence, not around the value.
- **Secrets** — keys, passwords, session cookies, anything gitleaks would flag.
`ACCEPTANCE_GITLEAKS_SECRET` is a hard refusal: no draft is written at all.
- **Logs, diffs, tracebacks, full command lines** — there is no field for them, by design.
A pasted command carries the path it ran from and often the arguments it ran with. Write
the four fields in your own words instead: title, what happened, what you expected, one
step per reproduction step.
A vulnerability (`--kind security`) NEVER becomes a public issue: the refusal prints the
private disclosure route (SECURITY.md, the maintainer's security contact) and declines the
public one before asking anything.
## Steps
1. Reproduce it first. A report of something that happened once is a report the person
reading it cannot act on; the steps field is what makes the difference.
2. Decide the kind before writing. Security → private route, always.
3. Write the four fields in your own words. Never paste logs, diffs or tracebacks.
4. Run the gate. Read the refusal if you get one: each code names what was found and in
which field. Rewrite that field in words that do not carry the value — do not work
around the scan.
5. Read the previewed bytes and their SHA-256. They are exactly what would leave. If
anything in there is not yours to publish, stop.
6. Sending is separate and manual. Nothing is transmitted automatically: take the previewed
bytes to the route your organisation or the upstream project uses (GitHub issue for
bugs, SECURITY.md contact for vulnerabilities, your incident channel for incidents).
## Writing the prose
The write-up follows the framework's single writing standard — read it before writing the
fields: [ai-write › references/documentation-writer.md](../ai-write/references/documentation-writer.md).
One idea per sentence, one meaning per word, nothing the environment already says. When the
report is long (an incident post-mortem rather than a bug), hand the prose to /ai-write and
keep this skill's gate as the last step before publishing.
## The ai-engineering seam
1. The governed post-mortem lives at `.ai-engineering/reports/NNN-{slug}.html` — readable
without session context; the NNN numbering is never rewritten.
2. It is immune while DECISIONS.md cites it; uncited, it expires to gc (§21.3) — history is
not rewritten, it is archived in git.
3. The gate (paths/PII/secrets) runs on ANY text destined to leave a governed repo — it is
the same discipline the git floor's gitleaks stage enforces at commit time, applied one
step earlier, to prose.
## Routing
In scope: reproducible faults bound for a team, an upstream project, or an incident review.
Not for: undiagnosed faults (/ai-debug), internal findings worth remembering (/ai-note),
decisions (/ai-plan), the docs themselves (/ai-write).
## Lifecycle
Lane: any
Writes: .ai-engineering/reports/NNN-{slug}.html
Read by: the team, humans without session context
Dies: immune while a permanent governor cites it; doctor --gc after older_than when nothing cites it
Next: none
Source: ai-engineering v1 skill `ai-report` (own), Apache-2.0 — renamed ai-issue-report.
查看并核实来源
获取价格与运行成本
- 获取 Skill
- 价格未确认
- 运行 Skill
- 尚未确认运行要求，请查看来源中的 Agent、API 和服务费用。
- 许可证
- Apache-2.0
- 价格未确认
- 我们尚未确认此 Skill 的价格，现有来源与安装入口仍可使用。
免费获取不代表免费运行，价格标签不代表安全评级。 提交价格信息 →
已记录技能来源
已记录技能指令路径，不代表本站运行测试、安全保证或兼容性认证。
安装前审查: 避免自动安装
许可证: Apache-2.0
- Permission surface may require sandboxing
- 缺少 AI 审查批准
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 55 GitHub stars
- Stars/forks activity: 55 stars, 3 forks; issue activity unavailable in current metadata
- Permission surface: secrets or environment access, shell or command execution
- Review status: AI review approval is missing
工具列表来自元数据，并非已测试的兼容性；Agent 提示词是建议的交接方式。
从一个小任务开始
- 1阅读来源，确认输入、预期输出、依赖和权限。
- 2先让 Agent 提出计划，批准环境配置和费用，再进行隔离的小规模测试。
- 3检查输出和变更文件，只报告实际执行结果，并保留来源版本以便复现。
请在来源中核实依赖、API 密钥及第三方费用。公开仓库不代表所有服务免费。
来源与使用须知
已收录静态检查通过
仓库元数据和审核信号仅供参考。受欢迎、已发现来源、成功运行是不同的事实。
- 来源仓库
- arcasilesgroup/ai-engineering
- 许可证
- Apache-2.0
- 版本
- Unknown
- 最近 GitHub 推送
- 2026年9月16日
- 目录更新于
- 2026年10月9日
版本来自目录元数据，使用前请核实来源发布记录。
质量
59/100
有潜力
信任
63/100
仅限沙盒
审计
75/100
需审查
- Permission surface may require sandboxing
- 缺少 AI 审查批准
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 55 GitHub stars
- Stars/forks activity: 55 stars, 3 forks; issue activity unavailable in current metadata
- Permission surface: secrets or environment access, shell or command execution
- Review status: AI review approval is missing
- Verified installs
- —
- 结果
- —
复制不等于安装。安装数需有成功安装回报，不代表全面的质量保证。
Agent 接入
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号，让 Agent 无需抓取界面即可排序。
更多详情
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"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "arcasilesgroup-ai-issue-report",
"task": "Use ai-issue-report in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/arcasilesgroup-ai-issue-report",
"api": "https://www.openagentskill.com/api/agent/skills/arcasilesgroup-ai-issue-report",
"audit": "https://www.openagentskill.com/skills/arcasilesgroup-ai-issue-report/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=arcasilesgroup-ai-issue-report&task=Use%20ai-issue-report%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20ai-issue-report%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20ai-issue-report%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/arcasilesgroup-ai-issue-report/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/arcasilesgroup-ai-issue-report"
}
}创作者工具
收录来源
Registry 收录
此列表来自公开来源，维护者认领获批前不会标记为官方。
- 收录方
- OpenAgentSkill 社区索引
归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。
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这条 Registry 收录 列表归属于 arcasilesgroup，但尚未标记为官方。认领后可增加已验证所有者信号，使后续发布、安装和审计更新更值得信赖。
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将证据徽章加入你的 README
在开发者评估仓库的位置展示规范页面、当前信任与审计信号，以及真实的 Agent 验证证据。
[](https://www.openagentskill.com/skills/arcasilesgroup-ai-issue-report?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/arcasilesgroup-ai-issue-report?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/arcasilesgroup-ai-issue-report/audit)
[](https://www.openagentskill.com/skills/arcasilesgroup-ai-issue-report?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)社区信号
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