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 d-mariano/spicyclaude/plugin install spicy-shipWrote 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/d-mariano/spicyclaude/review-loop)<a href="https://agentmods.dev/skills/d-mariano/spicyclaude/review-loop"><img src="https://agentmods.dev/badge/skills/d-mariano/spicyclaude/review-loop/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/d-mariano/spicyclaude/review-loop"><img src="https://agentmods.dev/badge/skills/d-mariano/spicyclaude/review-loop.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 | $0.00052 | $0.01570 |
| Opus 5.5 | $0.00021 | $0.00628 |
| Sonnet 5.5 | $0.00010 | $0.00314 |
| Haiku 4.5 | $0.00005 | $0.00157 |
Grade A, and why
review-loop 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 yesterday.
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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review loop
One reviewer and one fixer alternate until nothing at or above the severity floor remains, the
round budget runs out, or the two stop making progress. The loop decision is never made by a
model: review_gate.py computes it from the findings file.
Configuration
Resolve once per run with ${CLAUDE_PLUGIN_ROOT}/scripts/ship_config.py, adding
--plugin-config KEY=VALUE for each plugin option that is set and the skill's own flags last, and
pass the plan or code section to the gate. The orchestrator skill owns that call; this skill
only consumes its output.
| Key | Default | Meaning |
|---|---|---|
max_rounds |
3 | Reviewer rounds before EXHAUSTED |
min_severity |
High |
Lowest severity that forces another round |
fix_floor |
Medium |
Lowest severity the fixer is handed; never causes a re-review on its own |
Severity and confidence
Use the shared rubric from spicy-review: Critical, High, Medium, Low, plus a confidence
score from 0 to 100. The gate drops anything under 80 before deciding. Reviewers apply the
rubric's what-not-to-flag list and are told plainly that a round with no findings is a valid,
expected result. A reviewer asked to find problems will find something; the floor is the
structural fix for that.
Findings contract
Each round the reviewer writes <phase>-review-r<round>.json in the story's context folder.
references/findings.schema.json is the normative schema.
{
"reviewer": "code-reviewer",
"target": "plan-012.md or a git range",
"round": 2,
"prior_findings": [{"id": "F1", "status": "resolved"}, {"id": "F2", "status": "unresolved"}],
"findings": [
{
"id": "F2",
"title": "Refresh token stored in plaintext",
"severity": "High",
"confidence": 90,
"location": "src/auth/refresh.py:88",
"category": "security",
"problem": "The token is written to the sessions table unhashed, so a DB read leaks live credentials.",
"fix": "Hash with bcrypt before insert; compare with bcrypt.checkpw on refresh."
}
]
}
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday Changed · +5 lines 05864123263d
- 2d ago Changed · -5 lines 8e4eecca8fc1
- 4d ago First seen · 127 lines · 52 tokens per session scan A bc34786b3e24
review-loop is a skill published in the GitHub repository d-mariano/spicyclaude (5 stars, last pushed 2d ago), licensed MIT. It adds 52 tokens to every session and 1,570 once invoked, about $0.0002 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 2026-11-07.
review-loop compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| review-loopd-mariano/spicyclaude | Skill | 5 | 2d ago | MIT | A | 52 | Claude Code |
| autoreviewopenclaw/clawhub | Skill | 9.6k | today | MIT | A | 17 | Claude Code, Codex |
| omh-code-reviewrlaope/oh-my-hermes | Skill | 5.5k | today | MIT | A | 49 | Claude Code, Codex |
| agent-teams-simplify-and-hardenLeoYeAI/openclaw-master-skills | Skill | 2.2k | 6d ago | MIT | A | 115 | Claude Code, Codex |
| revdiff-planumputun/revdiff | Skill | 953 | today | MIT | A | 84 | Claude Code |
| re0-mergeLilMGenius/paperthin | Skill | 1.4k | yesterday | MIT | A | 51 | Claude Code, Codex |
| explore-unknownsdzhng/skills | Skill | 1.5k | today | MIT | A | 162 | Claude Code, Codex |