1Passwordに保存したパスワードやAPIキーを、コマンド実行や設定テンプレートで使うためのスキル。CLIの導入、認証、秘密情報の取得・受け渡しを案内します。
- 1Password CLIの導入と設定
- 保存済みAPIキーでコマンド実行
- 設定テンプレートへの秘密情報の埋め込み
Webサイトの通信をHARファイルに記録し、JSON取得に使われるAPIを読み解いてHTTPクライアントを作るスキル。検索などの処理をブラウザなしで再実行できます。
Record a site's XHR into a HAR, derive an HTTP client.
Webサイトの操作中に発生する通信を記録し、ブラウザなしで同じデータを取得するHTTPクライアントを作るスキルです。HARというリクエストとレスポンスの記録から、JSONを取得する通信を抽出し、URL、パラメータ、ヘッダー、送信内容を整理します。その情報を使ってクライアントを実装し、ブラウザで見たデータと一致するか確認します。
公開APIがなくても画面がJSONを取得しているサイトや、同じ検索を繰り返したい場面に向いています。検索候補やフィードの通信調査、取得処理のCLI化にも使えます。ローカルブラウザと、CDPというブラウザ接続方式を使うリモート環境に対応した記録手順があります。
記録にはPlaywrightとブラウザが必要です。再実行にはrequests、httpx、curlなどを使います。認証やCAPTCHAは回避しません。HARにはCookieやトークンが含まれるため慎重に扱い、解析後は削除します。認証情報の期限切れや非公開APIの変更時には再記録が必要です。
この紹介文は、公開されている SKILL.md をもとに AI(Claude Haiku)が作成しました。正確な仕様は下の原文を確認してください。
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Drive a website once with a real browser while recording its network traffic to a HAR file, then distill that HAR into the site's private JSON API so you can call it directly with plain HTTP — far cheaper and faster than browser-controlling the page on every request. Credit: trick by Jared Longster, popularized by Dax (thdxr). This captures and replays; it does NOT bypass auth, solve CAPTCHAs, or defeat bot-detection — if the site needs a logged-in session, you carry its headers/cookies forward, you don't forge them.
The scripts are stdlib-plus-Playwright: capture needs Playwright, derivation
is pure stdlib, replay needs only requests/httpx (or curl).
Covers every Hermes browser pathway: the default local browser_navigate
backend, plus the cloud/remote backends (Browserbase, Browser-Use, Firecrawl)
and any /browser connect CDP endpoint. There are two capture scripts — one
for a browser you launch, one for a browser you attach to over CDP — because
HAR recording works differently in each case (see How to Run).
browser_navigate for the same query repeatedly — stop and derive the endpoint once./browser connect and want the API without re-renting the browser.pip install playwright then playwright install chromium --no-shell~/.cache/ms-playwright, reuse it.)requests or httpx for the replay step (stdlib urllib also works).har_capture_cdp.py): a reachable CDP endpoint. On Hermes,
run /browser connect to print the active endpoint, or read BROWSER_CDP_URL
/ browser.cdp_url in config. Cloud backends expose it as cdpUrl/connectUrl.Scripts under this skill's scripts/, invoked through the terminal tool.
Pick the capturer by pathway — this is the part that trips people up:
| Browser pathway | How Hermes reaches it | Capturer |
|---|---|---|
Local browser_navigate (default, agent-browser/Playwright) | launched locally | har_capture.py |
Camofox (CAMOFOX_URL set) | local REST/CDP | har_capture_cdp.py if it exposes CDP, else drive it yourself |
| Browserbase / Browser-Use / Firecrawl (cloud) | CDP (cdpUrl) | har_capture_cdp.py |
/browser connect <url> / BROWSER_CDP_URL | CDP | har_capture_cdp.py |
Rule of thumb: if Hermes launched the browser, use har_capture.py; if it
connected to one over CDP, use har_capture_cdp.py. har_capture.py uses
Playwright's record_har_path, which only works on a locally-owned context.
har_capture_cdp.py attaches with connect_over_cdp() and assembles the HAR
from page.on("request"/"response") events, because record_har_path is
unavailable on a connected browser.
Then, for either path:
har_to_client.py — filters the HAR to XHR/fetch/JSON, groups by endpoint, and prints params, headers, bodies, and replay hints (User-Agent / cookie / auth).Resolve paths against this skill's directory. Canonical loop:
# 1a. Capture, LOCAL browser (Hermes launched it)
python3 scripts/har_capture.py "https://SITE/" out.har \
--action "fill:input[name=search]:my query" --action "sleep:3" --wait 2
# 1b. Capture, CDP browser (cloud backend or /browser connect)
# get the endpoint from /browser connect or BROWSER_CDP_URL
python3 scripts/har_capture_cdp.py "ws://HOST/devtools/browser/..." out.har \
--goto "https://SITE/" --action "fill:input[name=search]:my query" \
--action "sleep:3" --wait 2
# 2. Derive — read the endpoints out of the HAR
python3 scripts/har_to_client.py out.har --host SITE --max-body 400
# 3. Replay — write a tiny client from the printed endpoint (see Procedure)
har_capture.py <url> <out.har> [--wait S] [--headed] [--action SPEC ...]
action SPEC: fill:SELECTOR:TEXT | press:SELECTOR:KEY | click:SELECTOR
goto:URL | sleep:SECONDS (run in order after page load)
use when Hermes LAUNCHED the browser (local browser_navigate default)
har_capture_cdp.py <cdp_url> <out.har> [--goto URL] [--wait S] [--action SPEC ...]
same action SPEC; attaches to an existing CDP browser and does NOT close it
use for cloud backends (Browserbase/Browser-Use/Firecrawl) & /browser connect
har_to_client.py <in.har> [--host SUBSTR] [--include-static] [--max-body N]
default: keeps only XHR/fetch/JSON; --host narrows to one domain
prints per endpoint: query params, non-boring req headers, req body sample,
response status/content-type + body sample
prints "### Replay hints": the browser User-Agent, cookie/auth presence
har_capture.py; reached over CDP → har_capture_cdp.py. On Hermes, /browser connect tells you the CDP endpoint when a cloud/remote backend is active.browser_navigate (or --headed capture) to see which selector to type into / click, and confirm a JSON XHR fires in devtools/network.terminal tool. Order --action to reach the request: fill the box, then sleep long enough for the debounced XHR, and always leave --wait at the end so late responses flush. Both capturers embed response bodies, so the derived client sees real payload shapes.har_to_client.py --host <domain>. Read off: the method, the URL/path template (numeric/UUID segments collapse to {id}), query params, request-body JSON, and the ### Replay hints block.terminal tool and confirm it returns the same data the browser saw. This is the payoff: no browser in the loop.argparse script over the derived call, e.g. search.py "frank herbert".Worked example (Wikipedia search-title, derived + replayed live):
import requests
r = requests.get(
"https://en.wikipedia.org/w/rest.php/v1/search/title",
params={"q": "frank herbert", "limit": 5},
headers={"accept": "application/json",
"User-Agent": "Mozilla/5.0 ... Chrome/131 Safari/537.36"}, # from HAR
timeout=15,
)
for p in r.json()["pages"]:
print(p["title"], "-", p.get("description"))
python-requests/x.y. Always send the browser UA from the replay hints. This is the #1 reason a derived client fails when the browser succeeded.--action aborts before the HAR flushes — you get no file. If capture errors on a selector, the run produced nothing; fix the selector (use --headed to watch) and rerun. Don't debug a missing HAR.har_to_client.py prints "No API-looking entries". The data came in the HTML; scrape it or find the interaction that does fetch JSON.--action "sleep:3" after fill; typing alone won't have fired the request when the HAR closes.Cookie/Authorization header, and those expire. The derived client is only as durable as the credential; re-capture when it 401s. HARs contain live secrets — treat out.har as sensitive and delete it after deriving.record_har_content="embed" makes big HARs. Use --max-body to cap what's printed; the file itself can be large for media-heavy pages.har_capture.py on a cloud/CDP backend records nothing (it launches its own local browser instead of the one you meant). har_capture_cdp.py needs the endpoint; on Hermes get it from /browser connect or BROWSER_CDP_URL. Match the capturer to the pathway (How to Run table).HeadlessChrome/... User-Agent; some sites sniff the "Headless" token. Cloud backends (Browserbase/Browser-Use) send a real desktop-Chrome UA, so a client derived from a cloud capture replays more reliably. If a headless-derived client 403s where the browser didn't, swap the "Headless" UA for a normal Chrome UA string before assuming the endpoint changed.har_capture_cdp.py attaches to a browser it doesn't own and leaves it running — correct for cloud/remote sessions Hermes manages. Don't add a close; let the owning backend tear it down.End-to-end proof against a live site with no API key:
python3 scripts/har_capture.py "https://en.wikipedia.org/wiki/Main_Page" ~/.hermes/cache/scratch/wiki.har \
--action "fill:input[name=search]:dune messiah" --action "sleep:3" --wait 2
python3 scripts/har_to_client.py ~/.hermes/cache/scratch/wiki.har --host wikipedia.org --max-body 200
Expect the derivation to print GET https://en.wikipedia.org/w/rest.php/v1/search/title
with q and limit params and a JSON pages response — then replay it with the
Procedure snippet and confirm matching titles come back over plain HTTP.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
1Passwordに保存したパスワードやAPIキーを、コマンド実行や設定テンプレートで使うためのスキル。CLIの導入、認証、秘密情報の取得・受け渡しを案内します。
損益計算書・貸借対照表・キャッシュフロー計算書を数式で連動させるExcelモデルを作ります。実績と予測の入力、前提を変えた比較、財務三表の整合性確認を段階的に進めます。
Run PyTorch training across GPUs with minimal changes.
日本語の概要は準備中です。原文の説明を表示しています。
Set up Actual Computer (actual.inc) inference in Hermes.
日本語の概要は準備中です。原文の説明を表示しています。
技術が苦手で不満を抱きやすい利用者になりきってアプリを試し、操作の分かりにくさや離脱の原因を発見。実際の改善課題と個人的な不満を分け、修正案をまとめます。
2つのエージェントが別々に加えた変更のGit競合を、双方の差分と意図から中立的に解決。競合箇所ごとの判断理由を記録し、ビルドやテストで統合結果を確認します。