Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/loopdive/js2npx agentmods add skills/loopdive/js2/create-issueWrote 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/loopdive/js2/create-issue)<a href="https://agentmods.dev/skills/loopdive/js2/create-issue"><img src="https://agentmods.dev/badge/skills/loopdive/js2/create-issue/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/loopdive/js2/create-issue"><img src="https://agentmods.dev/badge/skills/loopdive/js2/create-issue.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00028 | $0.00848 |
| Opus 5.5 | $0.00011 | $0.00339 |
| Sonnet 5.5 | $0.00006 | $0.00170 |
| Haiku 4.5 | $0.00003 | $0.00085 |
Grade A, and why
create-issue scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Issue from Failure Pattern
Input
Describe the failure pattern: error message, test category, approximate count.
Steps
- Reserve the next issue id atomically (#2531) — never hand-pick a number (a parallel PR may grab the same one; the dup only fails in the merge_group and wedges the queue):
NEW=$(node scripts/claim-issue.mjs --allocate) # prints the reserved id
echo "$NEW"
This reserves the next id unique against origin/main ∪ every open PR's added
issue files ∪ ids already reserved on the orphan ref, with first-push-wins
atomicity. Use $NEW as {N} below. (The CI gate check:issue-ids:against-main
rejects any PR that introduces a main-colliding id, so this is enforced, not
just advised.)
- Find sample test files matching the pattern:
grep -l "<error pattern>" /workspace/benchmarks/results/test262-results.jsonl | head -5
Or search the JSONL:
python3 -c "
import json
matches = []
with open('benchmarks/results/test262-results.jsonl') as f:
for line in f:
r = json.loads(line)
if '<pattern>' in r.get('error',''):
matches.append(r['file'])
print(f'Found {len(matches)} matching tests')
for m in matches[:5]:
print(f' {m}')
"
-
For each sample, extract the relevant source lines from the test file.
-
Write the issue file:
---
id: {N}
title: "{description} ({count} tests)"
created: YYYY-MM-DD
updated: YYYY-MM-DD
priority: {high|medium|low}
feasibility: {easy|medium|hard}
depends_on: []
goal: core-semantics
es_edition: {es5|es2015|es2016|es2017|es2018|es2019|es2020|es2021|es2022|es2023|es2024|multi|n/a}
language_feature: {normalized-feature-slug}
task_type: {bug|feature|test|refactor|planning}
---
# #{N} -- {title}
## Problem
{count} tests fail with {error pattern}. {1-2 sentence description}.
### Sample files with exact errors and source
**1. {test name}**
File: `{path}`
Error: `{exact error}`
```js
// Relevant source lines
Root cause: {why the compiler produces wrong output}
ECMAScript spec reference
{Link to the relevant spec section(s) at https://tc39.es/ecma262/} Example: §7.1.1 ToPrimitive
If multiple sections apply, list each with a one-line note on which step or sub-algorithm is relevant to this issue.
Root cause in compiler
{Which codegen function/file produces this pattern}
Suggested fix
{High-level approach — specific enough for architect to spec}
Acceptance criteria
- {specific test files that must pass}
-
={target} of {total} tests fixed
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.
- 1mo ago First seen · 111 lines · 28 tokens per session scan A af40af8db7b2
create-issue is a skill published in the GitHub repository loopdive/js2 (66 stars, last pushed today), licensed Apache-2.0. It adds 28 tokens to every session and 848 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
insta-snapshots
Review and update Oxc Insta snapshots non-interactively after expected output changes or snapshot test failures.
migrate-oxfmt
Guide for migrating a project from Prettier or Biome to Oxfmt. Use when asked to migrate, convert, or switch a project's formatter from Prettier or Biome to Oxfmt.
migrate-oxlint
Guide for migrating a project from ESLint to Oxlint. Use when asked to migrate, convert, or switch a JavaScript/TypeScript project's linter from ESLint to Oxlint.
performance-lint-rules
Performance review guidance for Oxc linter rule implementations. Use only when reviewing Rust rule code under crates/oxclinter/src/rules/ or when explicitly auditing those rules for performance improvements.
ax-agent-optimize
This skill helps an LLM generate correct AxAgent tuning and evaluation code using @ax-llm/ax. Use when the user asks about agent.optimize(...), judgeOptions, eval datasets, optimization targets, saved optimizedProgram artifacts, or agent optimization guidance.
record-gotchas
Capture surprises, workarounds, and rough edges hit while consuming the public surface of Prisma 8, Prisma Compute, or Prisma Postgres — anything a real user of these products would experience. Fires whenever an operator (or agent) writes a workaround, hits a surprising failure mode, or finds undocumented behaviour…