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/bh-rat/steer/webapp-testingnpx skills add bh-rat/steer --skill webapp-testinggit clone --depth 1 https://github.com/bh-rat/steerWhat 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 | $0.00054 | $0.01259 |
| Opus 5 | $0.00027 | $0.00629 |
| Sonnet 5 | $0.00011 | $0.00252 |
| Haiku 4.5 | $0.00005 | $0.00126 |
Grade A, and why
webapp-testing 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
webapp-testing
Test and debug local web applications by writing native Python Playwright scripts. The user gets verified frontend behavior, screenshots, console logs, or automation results; every server started for the job is managed, its output captured, and stopped cleanly afterwards.
This skill bundles its own steer runtime at scripts/steer.py; the
commands below invoke it with python3 and need nothing installed.
Paths are relative to this skill's directory: when your working
directory is elsewhere (it usually is), use the skill's full path
(python3 <path-to-this-skill>/scripts/steer.py ...).
Before you start
- Ground yourself. Run
python3 scripts/steer.py context --tools node,npm,playwrightand read the snapshot; it tells you the platform, project type, and whether node and playwright exist here before you write any script. - Apply past lessons. Run
python3 scripts/steer.py learn showand follow what it says; those lessons came from real previous runs.
Decision tree
User task -> Is it static HTML?
- Yes -> Read the HTML file directly to identify selectors
- Works -> Write a Playwright script using those selectors
- Fails or incomplete -> Treat as dynamic (below)
- No (dynamic webapp) -> Is the server already running?
- No -> Start it managed (see Servers below), then script
- Yes -> Reconnaissance then action (below)
Servers
Start every server through steer so nothing leaks or zombies, stdout and stderr are captured to a log, and readiness is checked before your automation runs:
python3 scripts/steer.py proc start app --ready-port 5173 -- npm run dev
python3 scripts/steer.py proc status app # running? port open?
python3 scripts/steer.py proc logs app # captured output, e.g. startup errors
python3 scripts/steer.py proc stop app # TERM then KILL, the whole process group
Multiple servers (e.g. backend + frontend):
python3 scripts/steer.py proc start backend --ready-port 3000 --cwd backend -- python3 server.py
python3 scripts/steer.py proc start frontend --ready-port 5173 --cwd frontend -- npm run dev
What ships with it
6 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.
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 · 129 lines · 54 tokens per session scan A 2f9c6d9ae2ab
webapp-testing is a skill published in the GitHub repository bh-rat/steer (7 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 1,259 once invoked, about $0.0003 per session on Opus 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 2026-08-31.
Other skills, from other repositories
claude-md-improver
Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project…
agent-platform-rag-engine-management
Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…
agent-platform-model-registry
Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.
offensive-c2-frameworks
Command and Control framework deployment, configuration, and operational tradecraft for red team engagements. Covers Cobalt Strike (malleable C2 profiles, Beacon types HTTP/HTTPS/DNS/SMB, Beacon Object Files for in-memory execution, sleep and jitter tuning, named pipe pivoting), Sliver (implant generation across…
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
quick-recap
Use when adding or following the red/yellow/green final status block convention for agent responses, especially by installing managed AGENTS.md or CLAUDE.md instructions.