status

A command that displays project quality metrics, trends, review history, active specifications, and observability data in a dashboard. It also checks available supporting tools and evidence from recent quality gates.

In plain words
What is it for?
Use it to inspect metrics files, review memory, gate results, feedback loops, control-band drift, and available code-analysis tools.
Why use it?
It puts information about code quality, technical debt, recurring problems, and review results in one view. This helps identify areas that may need attention and track whether quality is improving.

Command

Install

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.

agentmods
npx agentmods add commands/galando/temper/status
Clone the repo
git clone --depth 1 https://github.com/galando/temper
Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 600 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00011 $0.00600
Opus 5 $0.00005 $0.00300
Sonnet 5 $0.00002 $0.00120
Haiku 4.5 $0.00001 $0.00060

Measured yesterday against content hash e0d03d7b8a2d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

status 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.

commands/status.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Status: Quality Metrics Dashboard

Goal: Display metrics, trends, learning loop suggestions, and observability data.

Execution

Full methodology: Read $CLAUDE_PLUGIN_ROOT/reference/status.md

Quick Reference

  1. Initialize .temper/ directory if missing (metrics, review-memory, specs/)
  2. Read .temper/metrics.json + .temper/review-memory.json
  3. Read .temper/gates.json + .temper/evidence/*.json (the current/last run's evidence-backed gate ledger — run $CLAUDE_PLUGIN_ROOT/scripts/temper report, or read the files directly)
  4. Read .temper/feedback-loops.json (if exists — active feedback loop state) 4.5. Run $CLAUDE_PLUGIN_ROOT/scripts/temper bands (deterministic control-band drift check over metrics history — CONTROL BANDS section; a propose-tier breach offers drafting an intent.md, see reference/status.md Step 3.7)
  5. Detect MCP tools: attempt to call get_impact_radius_tool (code-review-graph) and check if semgrep tools are available. Report availability in dashboard.
  6. Display: reviews, quality trend, debt, hotspots, top patterns, learning loop, active specs, MCP TOOLS section, GATE LEDGER section, FEEDBACK LOOPS section, CONTROL BANDS section
  7. If pattern count >= 3: suggest auto-rule
  8. Hotspot map: shows which files generate the most issues

Gate Ledger Panel (v7 — replaces the v6.x Observability/Economics panels)

v6.x rendered per-stage cost/latency/token estimates here — numbers with no mechanical backing, exactly what v7 stops presenting as fact. v7 shows only what temper gate and temper evidence actually recorded:

GATE LEDGER
  {output of: $CLAUDE_PLUGIN_ROOT/scripts/temper report}

  Evidence: {N} PROVEN, {N} HEURISTIC, {N} SEMANTIC (this run)

Graceful absence: if .temper/gates.json does not exist, print "No gate data yet. Run /temper to populate it." Do not error.

Feedback Loops Section (v4.0.0)

If .temper/feedback-loops.json exists and feedback.enabled: true in temper.config, show:

Read the full file on GitHub · 58 lines

Changes

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.

  1. yesterday First seen · 58 lines · 11 tokens per session scan A e0d03d7b8a2d

Subscribe to this mod's changes

status is a command published in the GitHub repository galando/temper (15 stars, last pushed 3d ago), licensed MIT. It adds 11 tokens to every session and 600 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.