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 agentmods add skills/imoonkey/openweb/doubannpx skills add imoonkey/openweb --skill doubangit clone --depth 1 https://github.com/imoonkey/openwebWhat 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 | $0.00000 | $0.01127 |
| Opus 5 | $0.00000 | $0.00563 |
| Sonnet 5 | $0.00000 | $0.00225 |
| Haiku 4.5 | $0.00000 | $0.00113 |
Grade A, and why
douban 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 2d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Douban
Overview
Chinese media review/rating platform (movies, books, music). Social/media archetype — 14 operations across movies, books, music, and discovery via mobile JSON API.
Workflows
Find and explore a movie
searchMovies(q)→ pick result →target.idgetMovie(id=target.id)→ full detail →rating.value,intro,genres,directors,actorsgetMovieCelebrities(id=target.id)→ directors[], actors[] withname,character,latin_namegetMovieReviews(id=target.id)→ user reviews →comment,rating,user.name,vote_countgetMoviePhotos(id=target.id)→ stills, posters →image.large.url, dimensions
Find and explore a book
searchBooks(q)→ pick result →target.idgetBook(id=target.id)→ full detail →rating.value,intro,author_intro,pubdategetBookReviews(id=target.id)→ user reviews →comment,rating,user.name,vote_count
Discover trending content
getRecentHotMovies()→ trending movies →id,title,rating.valuegetRecentHotTv()→ trending TV shows →id,title,rating.value,episodes_infogetNowShowingMovies()→ in-theater movies →id,title,release_dategetTop250(start)→ all-time top movies →rank_value,title,rating.value
Find music
searchMusic(q)→ pick result →target.idgetMusicDetail(id=target.id)→ album detail →title,singer[],songs[],genres[]
Operations
| Operation | Intent | Key Input | Key Output | Notes |
|---|---|---|---|---|
| searchMovies | search movies | q | target.id, title, rating.value, year | entry point |
| getMovie | movie detail | id <- searchMovies/getRecentHotMovies | title, rating.value, genres, intro, directors, actors | |
| getMovieReviews | movie user reviews | id <- searchMovies | comment, rating, user.name, vote_count | paginated (count, start) |
| getMovieCelebrities | movie cast/crew | id <- searchMovies | directors[], actors[] with name, character, latin_name | |
| getMoviePhotos | movie photo gallery | id <- searchMovies | photos[].image.large.url, dimensions | paginated (count, start) |
| getTop250 | top 250 movies | start (optional) | rank_value, title, rating.value, id | paginated by 25 |
| searchBooks | search books | q | target.id, title, rating.value, card_subtitle | entry point |
| getBook | book detail | id <- searchBooks | title, rating.value, intro, author_intro, pubdate | |
| getBookReviews | book user reviews | id <- searchBooks | comment, rating, user.name, vote_count | paginated (count, start) |
| searchMusic | search music | q | target.id, title, rating.value, card_subtitle | entry point |
| getMusicDetail | album detail | id <- searchMusic | title, singer[], songs[], genres[], pubdate | |
| getRecentHotMovies | trending movies | limit (optional) | id, title, rating.value, year | entry point |
| getRecentHotTv | trending TV shows | limit (optional) | id, title, rating.value, episodes_info | entry point |
| getNowShowingMovies | in-theater movies | count (optional) | id, title, rating.value, release_date | entry point |
What ships with it
19 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- adapters/douban-read.ts 14 KB runs code
- DOC.md 4.5 KB
- examples/getBook.example.json 220 B
- examples/getBookReviews.example.json 267 B
- examples/getMovie.example.json 221 B
- examples/getMovieCelebrities.example.json 232 B
- examples/getMoviePhotos.example.json 247 B
- examples/getMovieReviews.example.json 268 B
- examples/getMusicDetail.example.json 227 B
- examples/getNowShowingMovies.example.json 229 B
- examples/getRecentHotMovies.example.json 228 B
- examples/getRecentHotTv.example.json 224 B
- examples/getTop250.example.json 239 B
- examples/searchBooks.example.json 264 B
- examples/searchMovies.example.json 268 B
- examples/searchMusic.example.json 247 B
- manifest.json 466 B
- openapi.yaml 38 KB
- PROGRESS.md 3.1 KB
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.
- 2d ago First seen · 88 lines · 0 tokens per session scan A a9fbbbf2444a
douban is a skill published in the GitHub repository imoonkey/openweb (58 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,127 tokens. 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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