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 skills add cxcscmu/SkillLearnBench --skill jq-processinggit clone --depth 1 https://github.com/cxcscmu/SkillLearnBenchWrote 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/cxcscmu/skilllearnbench/jq-processing)<a href="https://agentmods.dev/skills/cxcscmu/skilllearnbench/jq-processing"><img src="https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/jq-processing.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 5.1 | $0.00021 | $0.00372 |
| Opus 5 | $0.00010 | $0.00186 |
| Sonnet 5 | $0.00004 | $0.00074 |
| Haiku 4.5 | $0.00002 | $0.00037 |
Grade A, and why
jq-processing 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 3d 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.
What it actually says
jq for JSON Processing
Basics
jq '.'- pretty-print JSONjq '.field'- extract a fieldjq 'length'- count array elementsjq '[.[] | select(.cond)]'- filter arrays
Date Handling
# Parse ISO 8601 date to epoch
echo '"2024-12-15T10:30:00Z"' | jq 'fromdateiso8601'
# Compute difference in days between two dates
jq -n '("2024-12-20T00:00:00Z" | fromdateiso8601) - ("2024-12-15T00:00:00Z" | fromdateiso8601) | . / 86400'
# Output: 5
Rounding
# Round to 1 decimal place
jq -n '3.14159 * 10 | round / 10'
# Output: 3.1
Building Final JSON
jq -n \
--argjson pr_total 50 \
--argjson pr_merged 40 \
--arg top "user1" \
'{
pr: { total: $pr_total, merged: $pr_merged, top_contributor: $top }
}'
Label Matching (substring check)
# Check if any label name contains "bug" (case-insensitive)
echo "$issues_json" | jq '
[.[] | select(.labels | any(.name | test("bug"; "i")))]
'
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.
- 3d ago First seen · 49 lines · 21 tokens per session scan A 3dbfe572c8cc
jq-processing is a skill published in the GitHub repository cxcscmu/SkillLearnBench (83 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 372 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 2026-09-03.
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