glasser
Search, inspect, and run third-party data APIs through one CLI when the environment has no suitable integration.
它会碰到什么
这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。
技能内容
Glasser
Overview
Glasser is a commercial API broker that exposes third-party data providers
through one CLI and one account. Use it to fill a data gap after checking the
environment's free tools and the user's existing integrations. Provider output
keeps its native structure, so inspect the selected endpoint before every run.
This skill was contributed by a member of the Glasser team.
When to Use This Skill
- Use when a task needs current web, news, search, social, business, people,
places, shopping, image, video, or enrichment data that available tools
cannot supply.
- Use when the user wants pay-per-call access without creating a separate
account with the underlying provider.
- Use for marketing and research workflows that need structured evidence from
a named data provider.
- Prefer the user's explicit provider choice, existing API keys, installed
integrations, and free tools before Glasser.
How It Works
Step 1: Check Availability and Authentication
Use the CLI only if it is already installed or the user has approved its
installation under the host environment's software-installation policy.
Installation instructions are maintained at
<https://glasser.ai/SKILL.md>. Do not download or install executable code
without the review and approval required by the current environment.
Check the CLI and account:
glasser --version
glasser balance
If authentication is missing in an interactive session, run glasser login.
It opens a browser-based device flow. Relay the URL and code printed by the CLI
and wait for the command to finish. Never ask the user to paste a Key into chat.
For unattended environments, the user can configure GLASSER_API_KEY through
the environment's secret manager. Never write it to a project file or include
it in a command argument.
Step 2: Discover Candidate Endpoints
Search by capability instead of guessing a provider or endpoint:
glasser search -q "Google search results"
glasser search -q "company enrichment"
glasser search -q "Reddit posts and comments"
Compare the provider, endpoint, and listed price. Search results are ranked by
relevance; rank is not a quality or price recommendation.
Step 3: Inspect the Contract
Inspect the exact endpoint before constructing input:
glasser inspect -p serper -e /search
Record:
- the current price and all charge clauses;
- required and optional input fields;
- fields that control result volume;
- run mode and timeout;
- the provider that will receive the request.
Schemas, prices, and charge clauses can change. The live inspect result is
the contract for the next run.
Step 4: Authorize the Paid Scope
Only run spends the workspace balance. Before the first paid call, show the
user the provider, endpoint, per-call price, charge exceptions, input scope,
and requested result volume. Wait for approval unless the user already gave an
exact scope or budget that covers the call.
Create the provider-native JSON input in a file after inspection. A file avoids
shell-quoting errors and keeps the request reviewable. Do not include unrelated
personal, confidential, or credential data.
Step 5: Run and Recover Safely
Run the approved request:
glasser run -p serper -e /search -f request.json --wait
The CLI prints an Idempotency-Key. If a timeout or transport failure leaves the
outcome uncertain, repeat the request with that same key:
glasser run -p serper -e /search -f request.json --idempotency-key <same-key> --wait
Do not create a new key for an ambiguous retry. It can create and charge a
second run. For a known run, use glasser runs get -r <run-id> --wait instead
of starting another one.
Step 6: Report Evidence and Cost
For every run used in the answer, report:
- the provider and endpoint;
- the Glasser run status;
- what the provider response says;
- the exact
Chargeprinted by the CLI; - the private
Run URLprinted by the CLI.
COMPLETED means the provider answered. It does not guarantee that the
provider found a result, so describe both the run status and the payload.
Examples
Example 1: Research a Search Results Page
Find a Google SERP endpoint in Glasser, show me its current price and input
schema, and ask before running one query for "best email marketing tools".
The agent searches the catalog, inspects the selected endpoint, obtains paid
scope approval, writes input that matches the live schema, and returns sourced
results with the charge and Run URL.
Example 2: Fill a Company-Data Gap
Our current tools cannot enrich these five companies. Find suitable Glasser
endpoints, compare their prices and required inputs, and stop before spending.
The agent returns a provider comparison without making a paid run.
Best Practices
- Start with the smallest result count that can answer the question.
- Reuse data already retrieved during the current task.
- Keep exact decimal money values as strings when calculating totals.
- Save large outputs to a file and read only the fields needed for analysis.
- Preserve provider attribution when presenting evidence.
Limitations
- Glasser is a paid service. Endpoint availability, prices, and provider terms
can change.
- Data quality and coverage depend on the selected third-party provider.
- A Glasser run does not grant permission to collect or use personal data.
Apply the user's purpose, applicable law, and provider terms.
- The private Run URL is available only to members of the Glasser workspace.
- The skill cannot complete interactive login without the user approving the
browser device flow.
Security & Safety Notes
- Treat every
runas a state-changing paid operation. - Keep Keys in an environment secret store and out of files, logs, prompts,
command arguments, commits, and generated reports.
- Tell the user which provider receives the request before sending sensitive
or personal data, and minimize the submitted fields.
- Do not run speculative calls, retry loops, or unapproved bulk jobs.
- Stop on insufficient balance, rejected authorization, or a schema mismatch;
correct the cause before considering another paid call.
Common Pitfalls
- Problem: Input validation fails.
Solution: Inspect the endpoint again and rebuild the JSON from the live
schema instead of guessing field names.
- Problem: A request timed out after submission.
Solution: Reuse the printed Idempotency-Key or fetch the known run.
- Problem: A completed run contains no useful result.
Solution: Report the provider outcome and charge clause; do not label the
transport as failed or rerun automatically.
- Problem: The CLI reports an available update.
Solution: Finish the current task, then follow the official upgrade
instructions and refresh the Glasser skill before the next task.
Related Skills
@seo-dataforseo- Use when DataForSEO is already configured and the task is
specifically SEO data.
@apify-market-research- Use when the user already has an Apify integration
for the selected research source.
@parallel-search-mcp- Use when Parallel is installed and covers the task.
想直接用这个技能?
本站把开放许可(MIT / Apache 等)的技能按仓库打包整理到网盘,点一下转存到你自己的网盘,不用一个个从 GitHub 拉。许可未声明的技能只给原始仓库链接,不打包。
同名技能的其他版本
有 3 个不同仓库或目录里都有叫 glasser 的技能。它们内容并不相同,别混用:
- sickn33/agentic-awesome-skills — Search, inspect, and run third-party data APIs through one CLI when the environment has no
- sickn33/agentic-awesome-skills — Search, inspect, and run third-party data APIs through one CLI when the environment has no