arcasilesgroup
Indexado en Registry
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
Resumen
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.
Leer documentación completa
Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.
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.
Metadatos del archivo
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
Ver texto original
---
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.
Revisar el código fuente
Precio y costes de ejecución
- Obtener el skill
- Precio sin confirmar
- Ejecutarlo
- Requisitos sin confirmar. Consulta los costes del agente, API y servicios en la fuente.
- Licencia
- Apache-2.0
- Precio sin confirmar
- No hemos confirmado el precio. Los enlaces existentes al código y a la instalación siguen disponibles.
Obtener gratis no significa ejecutar gratis. El precio no es una evaluación de seguridad. Enviar información de precio →
Fuente del skill registrada
La ruta de instrucciones está registrada. No implica pruebas de ejecución, seguridad ni compatibilidad.
Revisar antes de instalar: Evitar instalación automática
Licencia: Apache-2.0
- Permission surface may require sandboxing
- Falta aprobación de revisión por IA
- 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
Las herramientas son indicios de metadatos, no compatibilidad probada. Los prompts son sugerencias.
Empieza con una tarea pequeña
- 1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
- 2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
- 3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.
Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.
Fuente y notas de uso
IndexadoRevisión estática
Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.
- Repositorio fuente
- arcasilesgroup/ai-engineering
- Licencia
- Apache-2.0
- Versión
- Unknown
- Último push de GitHub
- 16 sept 2026
- Registro actualizado
- 9 oct 2026
- Ruta de instrucciones
- skills/ai-issue-report/SKILL.md @ f7ea1cfd3d10
Versión declarada en el registro; consulta las versiones de la fuente.
Calidad
59/100
Prometedor
Confianza
63/100
Solo sandbox
Auditoría
75/100
Requiere revisión
- Permission surface may require sandboxing
- Falta aprobación de revisión por IA
- 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
- —
- Resultados
- —
Copiar no es instalar. Los recuentos requieren un informe de instalación correcta, no garantizan calidad general.
Acceso para agentes
La API Registry expone señales de decisión, confianza, auditoría, casos de uso e instalación sin raspar la interfaz.
Más detalles
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},
"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"
}
}Para el creador
Fuente de la ficha
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Esta ficha se indexó desde fuentes públicas y no está marcada como oficial hasta que se apruebe una reclamación de mantenedor.
- Creador
- arcasilesgroup
- Indexado por
- Índice comunitario de OpenAgentSkill
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