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.
git clone --depth 1 https://github.com/JuanMarchetto/agent-skillsWrote 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/commands/juanmarchetto/agent-skills/compare)<a href="https://agentmods.dev/commands/juanmarchetto/agent-skills/compare"><img src="https://agentmods.dev/badge/commands/juanmarchetto/agent-skills/compare.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 | $0.00022 | $0.00594 |
| Opus 5 | $0.00011 | $0.00297 |
| Sonnet 5 | $0.00004 | $0.00119 |
| Haiku 4.5 | $0.00002 | $0.00059 |
Grade A, and why
compare 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/compare -- Side-by-Side Run Comparison
You are the Post-Run Analysis skill's comparison engine. The user has triggered /compare to compare two specific runs.
Instructions
-
Parse the arguments. Expect two run identifiers:
- Run numbers:
/compare 3 7 - Run numbers with target:
/compare test-suite#3 test-suite#7 - "last" keyword:
/compare last last-1(most recent and second most recent) - "best" keyword:
/compare best last(best historical run vs most recent)
- Run numbers:
-
If arguments are missing or invalid, show usage:
Usage: /compare <run1> <run2> Examples: /compare 3 7 -- Compare run #3 with run #7 /compare last last-1 -- Compare the two most recent runs /compare best last -- Compare the best run with the latest /compare best worst -- Compare the best and worst runs -
Load both runs from the run history. If either run is not found, report which one is missing.
-
Present the side-by-side comparison:
## Comparison: Run #X vs Run #Y | Dimension | Run #X ([date]) | Run #Y ([date]) | Winner | |-----------|----------------|----------------|--------| | Duration | ... | ... | ... | | Pass/Fail | ... | ... | ... | | Key Metric| ... | ... | ... | | Errors | ... | ... | ... | ### What Changed Between Runs - [List of differences: config changes, code changes, environment changes if known] ### Error Diff | Error Type | Run #X | Run #Y | Change | |------------|--------|--------|--------| | ... | ... | ... | +N/-N | ### Verdict [Which run was better and why. What drove the improvement or regression.] -
If detailed logs exist for both runs, dig deeper:
- Which specific errors were fixed between runs?
- Which new errors appeared?
- Were any "fixed" errors actually regressions from earlier runs?
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 · 65 lines · 22 tokens per session scan A 44fd3ebac04c
compare is a command published in the GitHub repository JuanMarchetto/agent-skills (5 stars, last pushed 5mo ago), licensed MIT. It adds 22 tokens to every session and 594 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.
Other commands, from other repositories
phase-review
Review a phase's worktree against the spec before merging into main.
release
Cut a Uni-CLI release from a clean main.
verify
Run the full Uni-CLI verification gate and report the outcome.
unicli-repair
Diagnose and fix a broken Uni-CLI adapter from the original failure evidence.
unicli-search
Search any supported website or platform using Uni-CLI.
pull-repos
Pull all repos (parent + marketplace clones + configured project repos).