Conciseness

At 526 dense lines the body is mostly high-value operational detail rather than concepts Claude already knows, but it could be noticeably tightened: rules 16 and 18 are near-duplicates ('Never atempo/speed-change/pitch-shift audio to fit' vs 'NO time-stretching in post. Never atempo/speed-up/slow-down/pitch-shift the audio to fit'), rule 2's cut-count rules are restated in Phase 3, rule 22's shot-variety rules are re-derived as the Phase 3 'Shot-variety rules', and rule 14 is expanded into the 8-point batch contract. Not level 2: almost every sentence carries platform-specific, non-inferable operational instruction, so there is little padded explanation; not level 4-5: the duplication and sheer inline volume (25 golden rules plus the full intake policy) still cost tokens on every load.

Actionability

Fully executable guidance throughout: exact preflight commands ('sandbox_exec({restart:true, command:"set -e; for b in ffmpeg ffprobe python3 curl jq awk; do command -v \"$b\" >/dev/null; done; ..."})'), exact validator invocations with exit-code semantics ('python3 ${HF_WORKFLOWS}/.../validate_motion_script.py --script script_manifest.json --duration-seconds {requested_seconds}' ... 'Exit code 1 BLOCKS every later generation phase'), a literal manifest JSON shape, numeric targets (9.4-9.8s speech per 10s block, 30-34 words per line, -16 LUFS, groups of at most six, timeout_seconds:25), and a retry ladder with an explicit ~8-attempt budget cap. Not level 4: the commands and parameters are copy-paste ready and cover the common failure cases, not just the happy path.

Workflow Clarity

The pipeline is sequenced 'Phases 0→8, in order' with a GATE after each phase, validation is explicit and blocking (preflight blocks the run; validator 'rewrite only the fields listed in invalid_blocks/errors, then rerun until valid:true'), feedback loops exist for every risky stage (NSFW retry ladder with seed retry → reword → reframing, submission-failure re-grouping, 20-minute stall escalation), and a FINAL QC CHECKLIST closes the process. Not level 4: batch operations have bounded retries, ledger reconciliation, and explicit terminal-state rules, which is exactly the anchor-5 pattern including the checklist.

Progressive Disclosure

Structure is good: all 11 markdown files referenced from the body exist in references/, are invoked with clear signals about when and why to open them ('Read ${FACELESS_FLOW_DIR}/references/intake-and-dispatch.md completely before starting Phase 0'), and long templates are correctly delegated out of the body. Not level 5: the 526-line body still inlines large blocks that arguably belong in references (the 8-point batch contract, the ChatGPT intake policy); the triple alias FACELESS_STYLES_DIR/FACELESS_MODES_DIR/FACELESS_FLOW_DIR points three names at one directory, adding indirection; and vo_and_captions.md is only reachable via a second hop (SKILL.md → generation-and-delivery.md), a shallow 2-level chain. Not level 3: references are clearly signaled, one level deep for everything the body names, and easy to navigate.

Specificity

The description names the domain and a single concrete action — 'produce a finished multi-scene narrator-led video' — plus deliverable requirements ('a consistent non-photoreal style, reusable assets, narrator voiceover, and burned subtitles'), but does not list several distinct actions like the anchor-4 example does. It is not level 2 because the action and its concrete requirements are specific rather than generic; it is not level 4/5 because the 'what' is compressed into one action while the bulk of the text is spent on when-to-use guidance.

Completeness

Both questions are answered explicitly with concrete trigger phrases: 'Use only when the user asks to produce a finished multi-scene narrator-led video and explicitly requests a faceless channel...' states the when, and 'This workflow requires a consistent non-photoreal style, reusable assets, narrator voiceover, and burned subtitles' plus the deliverable statement cover the what. Not level 4: the when-clause is not merely present but enumerated with synonyms and a 'Topic alone is never enough' disambiguation rule.

Trigger Term Quality

Comprehensive natural trigger phrases users would actually say: 'faceless channel', 'YouTube automation', 'narrated explainer/story/education', 'documentary', 'storybook or myth retelling', 'kids song video', plus explicit anti-triggers ('single clips, silent animation, image-to-video, footage edits, ads, product demos, or UGC'). Not level 4: no common variation of the domain's natural vocabulary is missing — the negative list doubles as synonym coverage.

Distinctiveness Conflict Risk

A clear niche with distinct triggers and an explicit exclusion list ('Do not use for planning or ideas, single clips, silent animation, image-to-video, footage edits, ads, product demos, or UGC') that prevents overlap with adjacent video skills. Not level 4: conflict risk is actively minimized, not just minor — the 'generic video of/about something, including a historical topic, uses ordinary video generation' rule resolves the most likely wrong-skill trigger.