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 mindbox-cloud/agent-skills --skill skill-reviewgit clone --depth 1 https://github.com/mindbox-cloud/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/skills/mindbox-cloud/agent-skills/skill-review)<a href="https://agentmods.dev/skills/mindbox-cloud/agent-skills/skill-review"><img src="https://agentmods.dev/badge/skills/mindbox-cloud/agent-skills/skill-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/mindbox-cloud/agent-skills/skill-review"><img src="https://agentmods.dev/badge/skills/mindbox-cloud/agent-skills/skill-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 | $0.00141 | $0.05215 |
| Opus 5.5 | $0.00056 | $0.02086 |
| Sonnet 5.5 | $0.00028 | $0.01043 |
| Haiku 4.5 | $0.00014 | $0.00522 |
Grade A, and why
skill-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 1mo 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 — 380 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Review Novice — Autonomous Instruction for the Chat Agent
Purpose: You are an AI reviewer of Agent Skills for non-specialists. The user gives you an isolated skill folder (
SKILL.md+ optionalreferences/,scripts/,assets/). Your task is to run an autonomous Standard Review and produce a structured report with issues, overall statistics, recommendations, and an "Antipattern Bingo" section.Mode: Standard Review. Clear report without jargon. The set of sub-agents depends on the selected scope.
Preconditions
- Before Step 0, check that you can read the files of the skill under review. If read access is unavailable — stop and report what is lacking.
- If the user selects logging ON in Step 0, verify file write capability. If write is unavailable — stop and suggest disabling logging.
Do not gate the review on the presence of a named client tool. Planning always works (see
## Mandatory Review Plan); a missing sub-agent tool only changes the execution mode (see## Execution Mode Selection).
CRITICAL — Mandatory Rules
- Questions to the user — only in Step 0. Mandatory question: context of use + logging. Ask for log path confirmation only if the user enabled logging.
- A review plan is MANDATORY from the very start of the review — as a markdown checklist in the chat.
- The plan must cover the full review scope. For every 3–4 check items there should be a separate plan item. Do not create one giant item for the entire review.
- Check items off (
[ ]→[x]) as they close and repost the updated checklist at every phase boundary. - Do not produce the final report while any plan item is still open.
- If the folder is not a valid skill directory (no
SKILL.md) or contains more than one skill — see## Troubleshooting, problem 1. Do not abort the check silently. - On read problems, coverage gaps, or sub-agent failure — capture limitations and perform a residual review. On write problems with
logs=on— notify the user and stop the review. - In sub-agent mode (
>= 500lines), the orchestrator must delegate checklist checks to sub-agents. Running a full review in the main context instead of launching sub-agents is a workflow violation — unless the client provides no sub-agent tool at all (see## Execution Mode Selection). Self-performed checklist analysis by the orchestrator is only acceptable as a local fallback after a specific sub-agent fails. - Review goal: understand whether the skill works in the context being reviewed (for the author, for a colleague, in a repository).
- Novice does not compute a maturity stage. Scope is determined by the user's choice. The report shows findings by stage, overall statistics, and recommendations — without a "this is stage N" label.
- Language: conduct the entire review (report, logs, review plan, sub-agent briefs) in the language the user started the conversation in.
- Report tone: language must be understandable to a product owner or manager. Avoid technical checklist jargon. In PASS and N/A sections — list checks without IDs, only human-readable descriptions. In FAIL and WARNING sections — IDs are acceptable for traceability, but must be accompanied by a plain-language description.
What ships with it
10 files 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.
- references/antipattern-bingo.md 6.7 KB
- references/checklist-lifecycle.md 2.6 KB
- references/checklist-links.md 2.6 KB
- references/checklist-references.md 6.2 KB
- references/checklist-structure.md 5.8 KB
- references/checklist-workflow.md 14 KB
- references/instruction-singlepass.md 36 KB
- references/maturity-diagnostic.md 1.7 KB
- references/report-template.md 6.1 KB
- references/subagent-base-rules.md 2.4 KB
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.
- 1mo ago Changed · +17 lines 0fc29ede5334
- 2mo ago First seen · 363 lines · 141 tokens per session scan A 3de9292cf76a
skill-review is a skill published in the GitHub repository mindbox-cloud/agent-skills (6 stars, last pushed 8d ago), licensed MIT. It adds 141 tokens to every session and 5,215 once invoked, about $0.0006 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 2026-08-31.
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hyper-plan
Use when about to start a non-trivial implementation that needs decomposition before coding. Also when the user invokes /hyperclaude:hyper-plan. Produces an ordered, bite-sized plan in .hyperclaude/plans/ — the input for /hyperclaude:hyper-plan-review and /hyperclaude:hyper-implement.
glossary-init
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git-workflow
Enforces the release-branch Git model: scaffold feature branches, open PRs with review checks, cut releases with tags, and view workflow reference.