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 AltimateAI/claude-consensus --skill consensus-reviewgit clone --depth 1 https://github.com/AltimateAI/claude-consensusWrote 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/altimateai/claude-consensus/consensus-review)<a href="https://agentmods.dev/skills/altimateai/claude-consensus/consensus-review"><img src="https://agentmods.dev/badge/skills/altimateai/claude-consensus/consensus-review.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 | $0.00089 |
| Opus 5 | $0.00011 | $0.00044 |
| Sonnet 5 | $0.00004 | $0.00018 |
| Haiku 4.5 | $0.00002 | $0.00009 |
Grade A, and why
consensus-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 8d 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
Consensus Review
Follow the command body in references/command.md.
Important:
- Codex is the lead reviewer.
- Do not call Codex/GPT as an external model.
- Use
~/.codex/consensus.json.
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.
- 8d ago First seen · 17 lines · 22 tokens per session scan A dfb1c445ceac
consensus-review is a skill published in the GitHub repository AltimateAI/claude-consensus (32 stars, last pushed 13d ago), licensed MIT. It adds 22 tokens to every session and 89 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 2026-08-30.
Other skills, from other repositories
tfx-prune
A cleanup workflow that asks three AI coding assistants to independently identify unnecessary code, then removes only issues they agree are unwanted. It checks for duplication, needless abstractions, excessive error handling, and similar readability problems.
tfx-review
A code-review workflow that asks several command-line AI reviewers to inspect changes independently, then reports issues that at least two reviewers agree on. TDD means test-driven development, where tests are written to guide implementation, but this add-on is for reviewing code rather than defining TDD.
tfx-analysis
A code and architecture analysis workflow that can ask several command-line agents to examine a project from different viewpoints, including architecture, security, performance, user experience, and documentation.
done
Run the closeout ritual before handing back non-trivial work; full verification, revert-probe honesty, independent review, and scope reporting. Use before declaring completion, opening a PR, wrapping up a change, or "ปิดงาน".
show
Visualize code structure, changes, and verification evidence in the smallest useful view. Use for connections, flows, diffs, file maps, Mermaid diagrams, evidence maps, or focused HTML; show facts and label unknowns.
pattern-recognition
Identify and apply existing codebase patterns for consistency. TRIGGER when: writing new code that should match conventions, or reviewing code for pattern drift. SKIP: language-specific patterns (use python-patterns or react-patterns); security review (use security-review-checklists).