optimize-agent-prompt agent skill by browserbase
Builds and improves Browserbase Agent API demos by running a fixed task, collecting logs, scoring results, revising one system-prompt heuristic, and confirming convergence.
At a glance
| Publisher | Browserbase Official |
|---|---|
| Repository | browserbase/skills (18 listed skills) |
| Category | AI Agents and LLM Engineering |
| License | MIT |
| Last commit | September 1, 2026 (repository) |
| SKILL.md | 112 lines, 671 words |
| Bundled files | 7 files, including references, scripts |
| Quality score | 81/100 · B Passes all seven graded checks |
| Security scan | Not scanned |
| README badge | Get the badges for this listing |
Before you install
Read from the skill's files at the directory's October 19, 2026 snapshot: what ships with it, what its code reads, and the terms it is published under.
- Bundled scripts: 1 script file (1 JavaScript). Your agent may run them, so read them first.
- Environment variables its scripts read:
BROWSERBASE_API_KEY. Check SKILL.md for which ones it needs. - Network: its scripts use an HTTP client or a cloud SDK, and name
api.browserbase.com. - Tool permissions requested:
Bash Read Write Edit Grep Glob(theallowed-toolsfield of SKILL.md). - License: MIT, an open-source or open-content license.
Install optimize-agent-prompt
The skills CLI works with Claude Code, Codex, Cursor and other agents; the other routes copy the folder by hand.
npx skills add https://github.com/browserbase/skills/tree/main/skills/optimize-agent-prompttmp="$(mktemp -d)"
git clone --depth 1 https://github.com/browserbase/skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/optimize-agent-prompt .claude/skills/
rm -rf "$tmp"python3 ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py \
--repo browserbase/skills \
--path skills/optimize-agent-promptbrowserbase/skills is third-party code. Read SKILL.md and any bundled scripts before you install it.
How the author describes it
Builds and improves Browserbase Agent API demos through an Autobrowse-style outer loop: run a fixed task, collect Agent messages and session logs, score the result, revise one system-prompt heuristic, and confirm convergence. Use when creating a Browserbase Agents demo or POC, optimizing an Agent system prompt, diagnosing flaky Agent runs, or applying auto-research/autobrowse to the Browserbase Agents API.
From the description field of SKILL.md. Agents read this line to decide when to load the skill.
Sections in SKILL.md
- Set up the experiment
- Run the baseline
- Diagnose from observable evidence
- Improve one heuristic
- Judge and converge
- Graduate into the demo
Files in the skill folder
LICENSE.txtSKILL.mdagents/openai.yamlevals/evals.jsonreferences/api.mdreferences/evaluation.mdscripts/optimize_agent_prompt.mjs
Suede Skill Check: 81/100 · B
Report snapshot · · graded-v2
The rubric totals 100 points; published scores are capped at 99. Security scan: not scanned.
Source revision: 6811ca311633. Report version 1dfb538f7ff7. Badge URLs follow the latest listing; save the report to keep this version.
Download report · Request a fresh review
What to review next
- Boundary clause: 0 of 4 points. 4 when the description says when not to use the skill (“Not for …”, “Do not use …”, “Use … instead”).
- Example request: 0 of 3 points. 3 when the description quotes an example request (3–60 characters in quotation marks).
- Recent maintenance: 6 of 9 points. 9 for a repository commit within 30 days of the snapshot; 6 within 90; 3 within 180; 1 within 365.
Add declarations and bundled files when they describe the skill’s actual needs. Update the source, then request a fresh review with the changed commit or PR.
optimize-agent-prompt passes the required frontmatter check and all seven graded checks, which cover the SKILL.md format, a declared license and a commit in the last year. Those checks earn 56 of the score’s points; the rest come from description quality, instruction depth, bundled files, maintenance and curated-list citations. How the score works.
See the checks and points
| Check | Result |
|---|---|
| Frontmatter parses and declares a name and a description | Pass |
| Name uses lowercase letters, digits and hyphens, 64 characters or fewer | Pass |
| Name matches the skill's folder name | Pass |
| Description is between 50 and 1,024 characters | Pass |
| Description says when an agent should use the skill | Pass |
| SKILL.md body is 500 lines or fewer | Pass |
| A license is declared in the frontmatter or the repository | Pass |
| Repository has a commit in the last 12 months | Pass |
| Score component | Points |
|---|---|
| Structural checks | 56 of 56 |
| Description length | 5 of 5 |
| Boundary clause | 0 of 4 |
| Example request | 0 of 3 |
| Instruction depth | 7 of 7 |
| Reference files | 3 of 3 |
| Bundled scripts | 2 of 2 |
| Recent maintenance | 6 of 9 |
| Curated-list citations | 0 of 7 |
| Tool permissions declared | 2 of 2 |
| Compatibility declared | 0 of 2 |
Two badges for optimize-agent-prompt
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[](https://skills.suedeai.ai/directory/browserbase/skills/optimize-agent-prompt/)
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<a href="https://skills.suedeai.ai/directory/browserbase/skills/optimize-agent-prompt/"><img src="https://skills.suedeai.ai/directory/browserbase/skills/optimize-agent-prompt/badge.svg" alt="Suede Skill Check: Grade B" width="160" height="175"></a>Suede Certified on the shield refers to this published structural quality check. Security scan: not scanned. Read the methodology.
Limited-time feature offer: display either the numeric or letter badge in your repository or skill README (both also qualify), then request badge verification. Eligible skills scoring 80–99 can receive a featured placement after Suede verifies at least one valid badge linked to the skill’s listing. Suede has not announced an end date.
Where this skill is cited
browserbase/skills is listed from its publisher's official collection or a listing request.