Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add jaroslavsoucek-art/Giovanni/plugin install giovanniWrote 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/jaroslavsoucek-art/giovanni/shadow-review)<a href="https://agentmods.dev/skills/jaroslavsoucek-art/giovanni/shadow-review"><img src="https://agentmods.dev/badge/skills/jaroslavsoucek-art/giovanni/shadow-review/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/jaroslavsoucek-art/giovanni/shadow-review"><img src="https://agentmods.dev/badge/skills/jaroslavsoucek-art/giovanni/shadow-review.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00025 | $0.02342 |
| Opus 5.5 | $0.00010 | $0.00937 |
| Sonnet 5.5 | $0.00005 | $0.00468 |
| Haiku 4.5 | $0.00003 | $0.00234 |
Grade A, and why
shadow-review 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 today.
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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/giovanni:shadow-review
Process unresolved past-horizon shadow hypotheses and audit a sample of recently resolved ones for governance compliance. This command is a thin shell — the adversarial lookback discipline (binding principle 7) lives in the giovanni:prediction-runtime agent. This file is the invocation contract.
Usage
/giovanni:shadow-review # default — all past-horizon pending + 10-20 resolved sample (90d window)
/giovanni:shadow-review --sample 20 # custom sample size
/giovanni:shadow-review --actor <slug> # focus on hypotheses touching one actor
/giovanni:shadow-review --window <YYYY-MM> # focus on one month's resolved cohort
/giovanni:shadow-review --horizon <YYYY-MM-DD> # review hypotheses with horizon_at <= date
/giovanni:shadow-review --force-review-now # override COI guard — recent resolutions excluded from cohort
Argument syntax
| Arg | Type | Default | Meaning |
|---|---|---|---|
--sample <N> |
parameterized int | 10-20 (auto) | Size of the resolved sample to audit. Caller can override for deeper review. |
--actor <slug> |
parameterized string | none | Filter the cohort to hypotheses whose actor field matches <slug>. Useful when calibration-report flagged an actor with concerning patterns. |
--window <YYYY-MM> |
parameterized | last 90 days | Focus on a single calendar month's resolved cohort instead of rolling 90-day window. |
--horizon <YYYY-MM-DD> |
parameterized date | today | Review hypotheses whose horizon_at <= <date>. Default = today. Useful for pre-audit dry runs ("what would shadow-review have closed if I'd run it last week?"). |
--force-review-now |
boolean flag | off | Override the COI guard. Hypotheses with resolved_date < 48 h ago are excluded from the cohort rather than reviewed — the override unblocks the run, it does not admit the conflicted files. |
All three filter args (--actor, --window, --horizon) can combine.
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.
- today First seen · 126 lines · 25 tokens per session scan A d771c67ae137
shadow-review is a skill published in the GitHub repository jaroslavsoucek-art/Giovanni (2 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 2,342 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 2026-10-17.
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