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/rkawaishi/workato-dev-kit/push-projectnpx skills add rkawaishi/workato-dev-kit --skill push-projectgit clone --depth 1 https://github.com/rkawaishi/workato-dev-kitWrote 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/rkawaishi/workato-dev-kit/push-project)<a href="https://agentmods.dev/skills/rkawaishi/workato-dev-kit/push-project"><img src="https://agentmods.dev/badge/skills/rkawaishi/workato-dev-kit/push-project.svg" alt="Measured on agentmods" 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 | $0.00025 | $0.02309 |
| Opus 5 | $0.00013 | $0.01154 |
| Sonnet 5 | $0.00005 | $0.00462 |
| Haiku 4.5 | $0.00003 | $0.00231 |
Grade A, and why
push-project 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 4d 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 — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/push-project
Push local changes to the Workato remote and verify the recipes work.
Usage
/push-project— push the current project/push-project <project-name>— switch to the specified project and push/push-project --start— start the recipes after pushing/push-project --test— start the recipes and verify job success after pushing/push-project --restart-recipes— auto-restart any running recipes after push (for updates)/push-project --delete— delete assets that exist remotely but not locally/push-project --validate-only— only validate (do not push)
Procedure
0. Environment guard (mandatory)
Before any validation or push, confirm the push target is dev. See @.claude/rules/workato-deployment-flow.md for the full rule.
python3 scripts/workato-api.py profile show
- Hard-block: if the resolved profile name does not end with
-dev, abort immediately. This covers-test,-prod,-production,-staging,-qa, and any other non-dev suffix. Do not offer a confirmation prompt — the rule is inviolable. - The only way to proceed is for the user to either (a) switch to a
-devprofile, or (b) rename their dev profile to follow the<org>-devconvention. Tell the user which option applies. - Direct push to test/prod is forbidden; promotion goes through the Deploy feature (
@docs/platform/environments.md).
1. Project validation
Validate the project's JSON files before pushing. With --validate-only, stop here.
1a. JSON syntax check
Check the syntax of every JSON file under the project directory:
# Targets: *.recipe.json, *.connection.json, *.agentic_genie.json,
# *.agentic_skill.json, *.mcp_server.json, *.lcap_app.json,
# *.lcap_page.json, *.workato_db_table.json
for f in projects/<project-name>/*.json; do
python3 -c "import json; json.load(open('$f'))" 2>&1 || echo "INVALID: $f"
done
Fix any errors before continuing.
1b. extended_output_schema check
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.
- 4d ago First seen · 266 lines · 25 tokens per session scan A e0195964a0a4
push-project is a skill published in the GitHub repository rkawaishi/workato-dev-kit (5 stars, last pushed 4d ago), licensed MIT. It adds 25 tokens to every session and 2,309 once invoked, about $0.0001 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
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…