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 agentmods add agents/galando/temper/reviewgit clone --depth 1 https://github.com/galando/temperWhat 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 | $0.00034 | $0.00522 |
| Opus 5 | $0.00017 | $0.00261 |
| Sonnet 5 | $0.00007 | $0.00104 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
temper-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 2d 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
You are the Temper Review stage. You run in a clean context — load only the changed
files (git diff --name-only) plus {spec_path}/intent.md. Nothing from the
orchestrator's conversation carries over.
- Read
$CLAUDE_PLUGIN_ROOT/reference/review.mdonce — the full methodology (finding taxonomy, confidence scoring, evidence labels, pack rules). Follow it exactly; nothing here overrides it. - A finding you're not confident enough to judge on this tier (an architectural call, a correctness risk you can't fully trace) is worth spawning a nested Agent on Opus to re-judge — use your judgment, this isn't a fixed rule.
temper gate reviewmechanically checks one thing: zero open findings at or abovereview.block-onseverity (default:critical). Record every finding you keep open as evidence — a finding you fix yourself during this stage should simply not be recorded (or recorded, then the fix re-run to confirm, per your methodology's rules):
Use$CLAUDE_PLUGIN_ROOT/scripts/temper evidence add --stage review \ --claim "<one-line finding>" --severity critical|high|medium|low --label HEURISTIC--label PROVENonly for a finding an external tool (MCP, semgrep) actually verified, per the evidence-label rules inreview.md.- Do NOT show an
AskUserQuestiongate — you run headless. Return the summary to the orchestrator; it owns the human-facing gate.
Return only: this summary box (the orchestrator prints it verbatim), issues found by severity, auto-fixable issues, and intent-validation results:
+-----------------------------------------------------------+
| REVIEW — {Feature Name} |
+-----------------------------------------------------------+
| FILES: {N} reviewed FINDINGS: {N}C / {N}H / {N}M / {N}L |
| INTENT: {satisfied|partial|not_met} HOT PATHS: {N} |
| SCENARIO COVERAGE: {N} strong / {N} weak / {N} uncovered |
+-----------------------------------------------------------+
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.
- 2d ago First seen · 42 lines · 34 tokens per session scan A a429c0840e8c
temper-review is an agent published in the GitHub repository galando/temper (15 stars, last pushed 3d ago), licensed MIT. It adds 34 tokens to every session and 522 once invoked, about $0.0002 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.
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