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 OpenClaudia/openclaudia-skills --skill glasser-researchgit clone --depth 1 https://github.com/OpenClaudia/openclaudia-skillsWrote 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/openclaudia/openclaudia-skills/glasser-research)<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/glasser-research"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/glasser-research/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/openclaudia/openclaudia-skills/glasser-research"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/glasser-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00070 | $0.01628 |
| Opus 5.5 | $0.00028 | $0.00651 |
| Sonnet 5.5 | $0.00014 | $0.00326 |
| Haiku 4.5 | $0.00007 | $0.00163 |
Grade A, and why
glasser-research 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 14d 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Glasser Research
Use Glasser to find and run paid third-party data API endpoints through one account. Glasser provides access and billing; the selected provider supplies the response. Use the provider's name when attributing data.
This is a data collection skill. Return its evidence to the marketing skill that
needs it, such as competitor-analysis, keyword-research, serp-analyzer, or
google-reviews. Keep that skill's analysis method and output format.
Source selection
Follow an explicit tool choice from the user. Otherwise use sources in this order:
- A suitable free tool already available in the agent.
- A working integration or API key the user already configured.
- Glasser for the specific remaining data gap.
Do not activate Glasser only because an API appears in its catalog. Use it when the task needs live data that the current environment cannot retrieve. A failed search can mean that the topic has no results; distinguish that from missing access before offering a paid fallback.
Setup
Check the CLI and authentication before planning a paid run:
glasser --version
glasser balance
If the CLI is missing and the user asks to configure Glasser, install it with Node.js 22 or later:
npm install -g @glasser-ai/cli@latest
For an interactive session, run glasser login (current setup instructions). Keep the command active while
the user approves the matching code in the browser. Relay the fallback URL and
code when the browser does not open. Never ask the user to paste a key into chat.
After login, run glasser balance again in the environment that will make calls.
For unattended environments, the user can configure GLASSER_API_KEY through a
secret manager. Do not write keys to project files, reports, command arguments,
or chat. If the environment key overrides a saved login and fails, fix or remove
that override instead of repeating login.
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.
- 14d ago Changed c96d3cd4f25f
- 1mo ago First seen · 141 lines · 70 tokens per session scan A be6c16f29c99
glasser-research is a skill published in the GitHub repository OpenClaudia/openclaudia-skills (721 stars, last pushed 5d ago), licensed MIT. It adds 70 tokens to every session and 1,628 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-19.
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