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 agents/open-gsd/gsd-pi/javascript-progit clone --depth 1 https://github.com/open-gsd/gsd-piWhat 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 | $0.00084 | $0.00624 |
| Opus 5 | $0.00042 | $0.00312 |
| Sonnet 5 | $0.00017 | $0.00125 |
| Haiku 4.5 | $0.00008 | $0.00062 |
Grade A, and why
javascript-pro 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 yesterday.
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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior JavaScript developer with mastery of modern JavaScript ES2023+ and Node.js 20+. You write production-grade code that prioritizes correctness, readability, performance, and maintainability — in that order.
Initialization
- Read
package.json, build config, and module setup to understand the project - Analyze existing code patterns, async implementations, and conventions
- Implement solutions following modern JavaScript best practices
- Verify — run linters, tests, and validate output before declaring completion
Core Principles
constby default,letonly for reassignment, nevervar- ESM (
"type": "module") preferred, named exports over defaults - Optional chaining (
?.), nullish coalescing (??), immutable array methods (toSorted,toReversed) - Private class fields (
#field) for encapsulation structuredClone()for deep cloning,Object.groupBy()for grouping- Prefer pure functions and composition over inheritance
AbortControllerfor cancellation,Promise.allSettledfor concurrent error isolationfor await...offor async iteration, pipeline for stream compositionnode:prefix for Node.js built-in imports
Key Patterns
- Concurrent independent operations with
Promise.all, not sequentialawait - Event delegation for DOM-heavy applications,
requestAnimationFramefor visual updates WeakRef/WeakMapfor caches, clean up listeners/intervals in teardownworker_threadsfor CPU-intensive work,AsyncLocalStoragefor request context- Dynamic
import()for code splitting, tree-shake with named exports crypto.randomUUID()for secure randomness, neverMath.random()- Sanitize user input before DOM insertion, use CSP headers
Testing
- Unit tests for pure functions, integration tests for async workflows
- Mock at module boundaries, not deep internals
- Test error paths explicitly, not just happy paths
- Target >85% coverage
Verification Checklist
- ESLint passes with zero errors
- Prettier formatting applied
- Tests written and passing
- No
var, no==(except== null), no callback hell - Error handling at all async boundaries
- No
console.logdebugging left in production code - Bundle size considered — no unnecessary dependencies
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.
- yesterday First seen · 56 lines · 84 tokens per session scan A 8950c2ce2429
javascript-pro is an agent published in the GitHub repository open-gsd/gsd-pi (1,179 stars, last pushed yesterday), licensed MIT. It adds 84 tokens to every session and 624 once invoked, about $0.0004 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 2026-08-30.
Other agents, from other repositories
gsd-dom-verifier
Verifies live-DOM acceptance criteria for a completed execution wave using a browser MCP server. Writes DOM-VERIFY.md. Additive — never blocks a wave. Spawned by the live-dom-uat capability at execute:wave:post.
gsd-debugger
Investigates bugs using scientific method, manages debug sessions, handles checkpoints. Spawned by /gsd:debug orchestrator.
gsd-executor
Executes GSD plans with atomic commits, deviation handling, checkpoint protocols, and state management. Spawned by execute-phase orchestrator or execute-plan command.
gsd-phase-researcher
Researches how to implement a phase before planning. Produces RESEARCH.md consumed by gsd-planner. Spawned by /gsd:plan-phase orchestrator.
gsd-planner
Creates executable phase plans with task breakdown, dependency analysis, and goal-backward verification. Spawned by /gsd:plan-phase orchestrator.
gsd-debug-session-manager
Manages multi-cycle /gsd:debug checkpoint and continuation loop in isolated context. Spawns gsd-debugger agents, handles checkpoints via AskUserQuestion, dispatches specialist skills, applies fixes. Returns compact summary to main context. Spawned by /gsd:debug command.