phoenix-skills-audit
The phoenix-skills-audit skill scans recent commits to the Arize Phoenix repository, detects changes to user-facing APIs in the tracing, CLI, and evals packages, and automatically patches the corresponding skill definition files to keep agent context synchronized with actual code behavior. Use this when Phoenix's Python clients, TypeScript clients, or CLI surfaces change, to prevent agent training drift from stale skill documentation.
git clone --depth 1 https://github.com/Arize-ai/phoenix /tmp/phoenix-skills-audit && cp -r /tmp/phoenix-skills-audit/.agents/skills/phoenix-skills-audit ~/.claude/skills/phoenix-skills-auditSKILL.md
# Phoenix Skills Audit Keep the three external-facing skills — `phoenix-tracing`, `phoenix-cli`, `phoenix-evals` — truthful about what the Phoenix Python clients, TypeScript clients, CLI, and APIs actually do today. The output is **patches applied to the skill files**, not a report. The skill reads recent commits, identifies what changed in user-facing surfaces, and updates the relevant `SKILL.md` and `references/*.md` files in place. This is a sibling skill to `phoenix-docs-gap-audit`. The docs-gap-audit produces a *report* about gaps in `docs/phoenix/`; this skill produces *edits* to `.agents/skills/`. Skills are loaded into agent context every time the user asks a question that triggers them, so a stale skill teaches every future agent the wrong API. That makes drift here strictly worse than drift in human-facing docs — humans can sanity-check; agents can't. ## Targets — the three skills this audit owns ``` .agents/skills/phoenix-tracing/SKILL.md .agents/skills/phoenix-tracing/references/*.md .agents/skills/phoenix-cli/SKILL.md .agents/skills/phoenix-evals/SKILL.md .agents/skills/phoenix-evals/references/*.md ``` Do not touch any other skill directory. If a change clearly belongs in a skill outside these three (e.g. `phoenix-server`, `phoenix-frontend`), note it in the run summary and skip — those skills are internal and have their own owners. ## Source mapping — which code feeds which skill | Source area | Skill | |---|---| | `packages/phoenix-otel/` (Python) | `phoenix-tracing` | | `js/packages/phoenix-otel/` (TS) | `phoenix-tracing` | | OpenInference semantic conventions, span attributes, instrumentation patterns | `phoenix-tracing` | | `js/packages/phoenix-cli/` (commands, flags, output JSON shape) | `phoenix-cli` | | `packages/phoenix-evals/` (Python) | `phoenix-evals` | | `js/packages/phoenix-evals/` (TS) | `phoenix-evals` | | New evaluators, eval templates, experiment APIs | `phoenix-evals` | | `packages/phoenix-client/` (Python) | depends on what's exposed — see below | | `js/packages/phoenix-client/` (TS) | depends on what's exposed — see below | | Server REST/GraphQL (`src/phoenix/server/api/`) | depends on what's exposed — see below | The generic clients and the server APIs are cross-cutting. Map them by the *feature* they expose, not the file they live in: - A client method that creates spans / sets attributes → `phoenix-tracing` - A client method that runs evaluations or experiments → `phoenix-evals` - A new REST/GraphQL endpoint that the CLI wraps (or should wrap) → `phoenix-cli` - A new attribute on a span returned by the API → `phoenix-cli` (JSON shape doc) and potentially `phoenix-tracing` (if it's an OpenInference attribute) A single feature can — and often does — span multiple skills. That's fine. Make all the edits; cross-reference between skills only when the user genuinely needs to read both. ## Workflow ### Phase 1: Gather commits Default window is the last 7 days on `origin/main`. The user may override. Translate their phrasing into a concrete range before running anything. **Always audit `origin/main`, not the local `main` branch.** Local `main` is routinely stale by dozens of commits — auditing the stale tip silently misses everything that shipped after the last `git pull`. ```bash git fetch origin main --quiet # Default 7-day window git log --since="7 days ago" origin/main --no-merges --pretty=format:"%h %s" --name-status # Tag range if the user specified one git log <prev-tag>..<current-tag> --no-merges --pretty=format:"%h %s" --name-status # Sanity check git rev-list --count main..origin/main ``` Save the raw list. Note the audited SHA in the run summary so a reader can reproduce. ### Phase 2: Triage to user-facing surfaces Commit messages lie or under-report. Use them as an index, not a source of truth. Split the list into three buckets: - **Audit candidates** — anything that changes what the Python clients, TypeScript clients, CLI, REST/GraphQL APIs, or instrumentation packages do from the user's perspective. New methods, new flags, new commands, new attributes, new env vars, renamed parameters, behavior changes, deprecations, breaking changes. - **Skip** — internal refactors with no public surface, dep bumps, test-only changes, CI/build changes, formatting, frontend-only changes (those belong to other skills), release-please bookkeeping (`chore(main): release …`), and **feature flags** (env vars named `*_DANGEROUSLY_*`, `*_EXPERIMENTAL_*`, intentionally undocumented escape hatches). Feature flags are deliberately kept out of public skills. - **Unclear** — when you cannot tell from the message and changed paths. Default to reading the diff. Cheap, and catches features hidden behind `refactor:` prefixes. Group related commits that implement one logical feature across server + SDK + CLI. Audit them as one unit. **Breadth before depth.** Enumerate every audit candidate in a flat list before going deep on any one. The goal is a *complete* sweep, not the single juiciest finding. For each candidate, in the same one-liner, **tag the cross-cutting concept(s) it most likely affects**, even if the commit's file path doesn't say so. The four concepts: - **tracing** — spans, attributes, instrumentation, OpenInference, otel - **evals** — evaluators, experiments, datasets, prompts - **cli** — CLI commands, flags, JSON output shape - **none** — internal/refactor/dep/frontend-only/feature-flag Once a candidate is tagged with `tracing` / `evals` / `cli`, you have committed to a hypothesis: there is potentially a skill edit here. The only way to legitimately drop the candidate later is to read the diff and find that the change is internal, or already documented, or genuinely user-irrelevant. "I don't see the relevant package in the path" is not a sufficient reason. Only after this tagged list exists do you expand each entry into edits. ### Phase 3: Locate the real code For every candidate, open the actual changed files. Com
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