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Issue reassess stats

Skill apache/magpie/skills/issue-reassess-stats

Agent-assisted maintainership and development framework for Apache projects — Triage, Mentoring, Drafting (agent-authored fixes with human review), and Pairing (developer-side dev-cycle) skills shipping; Agentic Autonomous (auto-merge) on the roadmap.

Install
npx -y skills add apache/magpie --skill issue-reassess-stats

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Read-only dashboard over a directory of `verdict.json` files produced by `issue-reassess` campaigns. Surfaces a health rating, classification distribution, partial-fix surfaces, oldest-unresolved buckets, and per-component breakdowns. Output is HTML by default; markdown fallback available. Read-only on tracker state; consumes campaign artefacts.

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

9.9 KB, as published. Nobody here has run it

<!-- SPDX-License-Identifier: Apache-2.0 https://www.apache.org/licenses/LICENSE-2.0 --> <!-- Placeholder convention (see ../../AGENTS.md#placeholder-convention-used-in-skill-files): <project-config> → adopter's project-config directory <issue-tracker> → URL of the project's general-issue tracker <issue-tracker-project> → project key within the tracker <upstream> → adopter's public source repo <default-branch> → upstream's default branch Substitute these with concrete values from the adopting project's <project-config>/ before running any command below. -->

issue-reassess-stats

Read-only dashboard skill over the verdict.json artefacts produced by issue-reassess campaigns. Surfaces a health rating, classification distribution, the still-fails-* action tail, partial-fix surfaces, new-issue candidates from cross-family probes, and per-component breakdowns.

The skill is the read-only counterpart to issue-reassess — both consume the same on-disk artefacts. Where reassess writes verdicts (one per candidate) and a report.md, this skill renders an at-a- glance dashboard for the maintainer to scan.

Modelled on pr-management-stats.


Golden rules

Golden rule 1 — read-only on tracker AND on campaign artefacts. This skill reads verdict.json files and emits HTML. It does not modify any campaign artefact, does not post to <issue-tracker>, does not re-invoke issue-reproducer.

Golden rule 2 — HTML by default. The dashboard is designed for the "what should I do today" glance. Markdown and tables-only fallbacks are available for terminal pipelines (--markdown, --tables-only).

Golden rule 3 — surface action candidates first. The dashboard opens with the still-failing-bug count and the new-issue candidates from probes — these are where work happens. The bulk fixed-on-master / cannot-run-* counts come second.

Golden rule 4 — fresh read on every invocation. The dashboard re-reads verdict.json files on every run; no in-memory caching. This makes the dashboard a coherent snapshot of the campaign state at the moment of invocation.

Golden rule 5 — multi-campaign reads are explicit. When the user points the skill at a directory that contains multiple campaign subdirectories, it asks which one — never silently aggregates across campaigns.


Adopter overrides

Before running the default behaviour documented below, this skill consults .apache-magpie-local/issue-reassess-stats.md (personal, gitignored) and .apache-magpie-overrides/issue-reassess-stats.md (committed, project-wide) in the adopter repo if it exists, and applies any agent-readable overrides it finds. See docs/setup/agentic-overrides.md for the contract.

Hard rule: agents NEVER modify the snapshot under <adopter-repo>/.apache-magpie/. Local modifications go in the override file.


Snapshot drift

Also at the top of every run, this skill compares the gitignored .apache-magpie.local.lock (per-machine fetch) against the committed .apache-magpie.lock (the project pin). On mismatch the skill surfaces the gap and proposes /magpie-setup upgrade.


Prerequisites

  • A campaign directory exists at the path the user supplies (or the project's default per <project-config>/reproducer-conventions.md).
  • That directory contains <KEY>/verdict.json files for the campaign's candidates (at least one).

No tracker access required — the skill operates entirely on on-disk artefacts.


Inputs

SelectorResolves to
stats <campaign-dir> (default)path to a campaign directory
--markdownemit markdown instead of HTML
--tables-onlyemit terminal-rendered tables only (no hero cards, no recommendations)
--output <file>write to a file instead of stdout
--component <name>filter the dashboard to one component

The default output is HTML to stdout; the user pipes it to a file or opens it directly.


Step 0 — Pre-flight

  1. Campaign directory exists at the supplied path.
  2. At least one verdict.json present under the directory.
  3. Override consultation — see Adopter overrides above.
  4. Drift check — see Snapshot drift above.

If the directory has multiple campaign subdirs (e.g., the user pointed at <scratch>/), prompt which to use.


Step 1 — Fetch the verdicts

Read every verdict.json under the campaign directory. Parse and schema-validate each per issue-reproducer/verdict-composition.md. Skip and report any file that fails to parse; do not aggregate partial data.

Full details: fetch.md.


Step 2 — Classify

Bucket each verdict by classification (10 labels) and orthogonally by nature (5 labels). Detect multi-case partial fixes from the cases array. Cross-tabulate classification × nature.

Full details: classify.md.


Step 3 — Aggregate

Compute the dashboard's payload:

  • Total candidates, breakdown by classification and nature.
  • Health rating (Healthy / Needs attention / Action needed) per the project's thresholds.
  • Action candidates (still-failing tail).
  • Closure candidates (fixed-on-master with strong evidence).
  • New-issue candidates (probe findings).
  • Per-component breakdown.

Full details: aggregate.md.


Step 4 — Render

Emit the dashboard. Default is HTML with inline CSS (single self- contained file); markdown and tables-only fallbacks honour the --markdown and --tables-only flags.

Full details: render.md.


Step 5 — Output

Write to stdout (default), to a file if --output was passed, or present in the agent's response if the user invoked the skill interactively.

The HTML output is self-contained — no external CSS, no JS, no images. A maintainer opens it in any browser without setup.


Step 6 — Hand-back

Surface to the user:

  • The path to the rendered output (if file mode).
  • Headline numbers (count of still-failing, count of new-issue candidates).
  • Recommended next actions:
    • For each still-failing candidate: /magpie-issue-fix-workflow <KEY>.
    • For each closure candidate: a manual close via the tracker.
    • For each new-issue candidate: a manual file via the tracker.

The skill never executes any of these next actions — it only recommends.


Hard rules

  • Never modify campaign artefacts. Read-only on the campaign directory; no re-running issue-reproducer, no rewriting verdict.json.
  • Never post to <issue-tracker> — the dashboard is a local view; tracker writes go through other skills.
  • Never aggregate across campaigns without an explicit user prompt. Each campaign's verdicts are scoped to one <campaign-id>.
  • Never invent counts. If a verdict.json failed to parse, it's surfaced as a parse error, not counted in the totals.

Failure modes

SymptomLikely causeRemediation
Campaign directory contains no verdict.json filesCampaign hasn't run yet, or paths are wrongInvoke issue-reassess to populate, or correct the path
verdict.json parse error on N filesSchema drift, manual edits, or interrupted campaign runSurface the failing paths; do not aggregate partial data
All verdicts classified cannot-run-*Pool was shape-D / shape-H heavy, or runtime is brokenSurface in the dashboard's "limitations" section
Health rating threshold seems wrong for this projectProject's defaults don't match its scaleOverride via .apache-magpie-overrides/issue-reassess-stats.md
Age bands don't match the project's pace"Recent" is project-relative; defaults assume a moderately active projectOverride the band edges via .apache-magpie-overrides/issue-reassess-stats.md

References

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