Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add wanshuiyin/ARIS-Movie-Director --skill comic-intent-parsergit clone --depth 1 https://github.com/wanshuiyin/ARIS-Movie-DirectorWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/wanshuiyin/aris-movie-director/comic-intent-parser)<a href="https://agentmods.dev/skills/wanshuiyin/aris-movie-director/comic-intent-parser"><img src="https://agentmods.dev/badge/skills/wanshuiyin/aris-movie-director/comic-intent-parser/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/wanshuiyin/aris-movie-director/comic-intent-parser"><img src="https://agentmods.dev/badge/skills/wanshuiyin/aris-movie-director/comic-intent-parser.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00154 | $0.06337 |
| Opus 5 | $0.00077 | $0.03168 |
| Sonnet 5 | $0.00031 | $0.01267 |
| Haiku 4.5 | $0.00015 | $0.00634 |
Grade A, and why
comic-intent-parser scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.
comic-intent-parser — the locked premise (Phase 1 · Layer 0)
The single entry point of the left third of Figure 1. Before any beat, panel, asset, or blueprint exists,
this skill turns a raw user brief (one line, a script, a locked video storyboard, an image, or a mix) into
one intent_spec wiki node that answers exactly three questions — (1) what the user wants, (2) the hard
constraints, (3) what is still ambiguous — and locks the comic's logline + tagline + dual-identity design
constraint. It is the Layer-0 step the 49-line comic-author SOP previously had
only as a one-line stub; this gives it a real 7-phase procedure, a schema-validation loop, a confidence gate,
a cross-model parse, and a hard user-approval gate. It hands intent:<slug> down to
comic-outline-creator. It is authoring, not rendering: it must never
invent characters/scenes (that is the storyboard layer) or write panel prompts / content_svg /
expected_literals (that is the asset/blueprint layer) — doing so is a hard gate veto.
raw idea / locked skeleton / audience ─▶ ⓪ snapshot raw input verbatim + sha256 (provenance)
▼
① CODEX structured parse — raw bytes + verbatim node_schema, Claude inserts NO interpretation
▼
② SCHEMA validation loop — validate the FULL node vs node_schema.json (≤ MAX_PARSE_ATTEMPTS, codex-reply on the SAME thread)
▼
③ CONFIDENCE routing — confidence<0.6 OR any impact==high uncertainty → status:"under_review"
▼
④ BANNED-VOCAB lint (final guard) — recursive word-boundary scan; on hit re-parse ONCE (out-of-band)
▼
⑤ fan-out reviewers → persist review:* nodes + `reviews` edges → THEN comic-cross-layer-gate <id> --gate intent (CC scope-sanity ‖ Codex xhigh ambiguity)
▼
⑥ USER APPROVAL — HARD gate; present logline + tagline + dual_identity + every uncertainty → wait for explicit "lock it"
▼
approved? ─ no ─▶ revise / re-ask (NEVER proceed)
│ yes
▼
⑦ status:"locked" → commit node + edges + INTENT_REPORT.md + handoff JSON
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 279 lines · 154 tokens per session scan A 45e24629a3ea
comic-intent-parser is a skill published in the GitHub repository wanshuiyin/ARIS-Movie-Director (61 stars, last pushed 3d ago), licensed MIT. It adds 154 tokens to every session and 6,337 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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