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 commands/el-feo/ai-context/qa-executegit clone --depth 1 https://github.com/el-feo/ai-contextWhat 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 | $0.00007 | $0.12421 |
| Opus 5 | $0.00003 | $0.06211 |
| Sonnet 5 | $0.00001 | $0.02484 |
| Haiku 4.5 | $0.00001 | $0.01242 |
Grade A, and why
qa-execute scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
const { execSync } = require('child_process'); How it starts
The opening of the file, as written. The whole thing — 1,491 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resolution order if omitted:
- Most recent open QA issue with QA Steps:
gh issue list -l QA -s open --limit 1 --json number -q '.[0].number'
<usage_examples> Execute a single QA Step:
/ghpm:qa-execute step=#42
Execute all Steps in a QA Issue:
/ghpm:qa-execute qa=#10
Auto-resolve most recent QA Issue:
/ghpm:qa-execute
</usage_examples>
Step 0: Resolve Target QA Steps
If step=#N provided (single Step execution)
STEP=$N
# Fetch Step details
STEP_DATA=$(gh issue view "$STEP" --json title,body,url,labels -q '.')
STEP_TITLE=$(echo "$STEP_DATA" | jq -r '.title')
STEP_BODY=$(echo "$STEP_DATA" | jq -r '.body')
# Verify it's a QA Step
HAS_LABEL=$(echo "$STEP_DATA" | jq -r '.labels[].name' | grep -c "QA-Step" || true)
if [ "$HAS_LABEL" -eq 0 ]; then
echo "Warning: Issue #$STEP does not have QA-Step label. Proceeding anyway."
fi
# Extract parent QA Issue number from body
QA=$(echo "$STEP_BODY" | grep -oE 'QA: #[0-9]+' | head -1 | grep -oE '[0-9]+')
STEPS_TO_EXECUTE=("$STEP")
If qa=#N provided (all Steps in QA Issue)
QA=$N
OWNER=$(gh repo view --json owner -q '.owner.login')
REPO=$(gh repo view --json name -q '.name')
# Fetch all QA Steps linked as sub-issues of this QA Issue
cat > /tmp/ghpm-qa-subissues.graphql << 'GRAPHQL'
query($owner: String!, $repo: String!, $number: Int!) {
repository(owner: $owner, name: $repo) {
issue(number: $number) {
subIssues(first: 50) {
nodes {
number
title
state
labels(first: 10) {
nodes { name }
}
}
}
}
}
}
GRAPHQL
# Get open QA Steps
STEPS_TO_EXECUTE=$(gh api graphql -F owner="$OWNER" -F repo="$REPO" -F number=$QA \
-f query="$(cat /tmp/ghpm-qa-subissues.graphql)" \
--jq '.data.repository.issue.subIssues.nodes[] | select(.state == "OPEN") | select(.labels.nodes[].name == "QA-Step") | .number')
if [ -z "$STEPS_TO_EXECUTE" ]; then
echo "Error: No open QA Steps found for QA Issue #$QA"
exit 1
fi
echo "Found $(echo "$STEPS_TO_EXECUTE" | wc -l | tr -d ' ') QA Steps to execute"
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 · 1,491 lines · 7 tokens per session scan A 0d227ee3ccd2
qa-execute is a command published in the GitHub repository el-feo/ai-context (12 stars, last pushed 1mo ago), licensed MIT. It adds 7 tokens to every session and 12,421 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
e2e
使用 Playwright 对 Web UI 进行端到端测试(支持视频录制、Trace 录制、控制台/网络日志捕获).
auto-browse
Auto-browse — learn, optimize, and graduate browser operations or web data-mining workflows.
research-perplexity
Run a deep research query using Perplexity's /research mode via Playwright browser automation. This is an alternative to /export-to-council that uses Perplexity's dedicated research mode instead of multi-model council.
review
Compare a reference design against an implementation. Accepts Figma URL, image file, or browser URL as reference.
graphify
Turn your vault into a clustered knowledge graph with HTML and JSON outputs.
laravel-playwright
E2E Playwright patterns; use the laravel:e2e-playwright skill exactly as written.