Megatron-Core CI Failure to Issue

The workflow is scoped to reading GitHub Actions data, inspecting PR/commit metadata, and creating an issue in NVIDIA/Megatron-LM. It requires duplicate checking, quoting actual logs, and stopping when a run is incomplete or logs are unavailable; no malware or credential theft is evident. However, issue creation and automatic assignment are external side effects without a mandatory final user confirmation, and least-privilege permissions, sensitive-log handling, rollback, and revocation are not specified, so points are deducted.

URL forms, failed-job selection, log extraction, PR/author resolution, duplicate checking, issue construction, and incomplete-run handling are described coherently. Reliability is reduced by dependence on gh, GitHub access, and network availability, plus limited handling and diagnostics for malformed inputs, pagination, redirected logs, and lookup failures. No skill-specific executable test evidence is supplied. Under static calibration the score remains at or below 10.

The audience, accepted URL inputs, trigger phrases, and intended output are clear for NVIDIA/Megatron-LM CI triage. The skill is nevertheless tightly coupled to GitHub Actions and one repository, gives limited non-fit boundaries, and provides no Chinese-language or mainland-China reachability guidance; its core function depends on GitHub access, so points are deducted.

The SKILL.md has readable metadata, progressive workflow steps, commands, an issue template, limitations, and failure guidance. The skill card supplies owner, Apache-2.0 terms, use case, risks, and a version; repository-level license, security, and publishing files add governance context. It lacks recommended Instructions, Examples, Purpose, and tags, plus a dedicated FAQ, changelog, and clear maintenance/update path; repository license metadata is also NOASSERTION, so it is not full marks.

The skill covers the core path from a failed CI run to a structured issue, including duplicate prevention, concise error capture, PR linkage, author assignment, and reporting the resulting URL. Its practical value is plausible, but no representative live output or third-party execution evidence is provided, GitHub permissions/log availability can block completion, and human review remains necessary. Static calibration limits this to 7.

The commands, queried fields, and issue template are auditable, and BENCHMARK.md records static validation findings. However, Tier 3 details are unavailable, evals.json is empty, and there is no committed test suite or independent reproduction covering this skill's key paths. Evidence is therefore limited; the static score stays below the 5-point ceiling.