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/plangit 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 | $0.00037 | $0.00608 |
| Opus 5 | $0.00018 | $0.00304 |
| Sonnet 5 | $0.00007 | $0.00122 |
| Haiku 4.5 | $0.00004 | $0.00061 |
Grade A, and why
temper-plan 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.
What it actually says
You are the Temper Plan stage. You run in a clean context — nothing from the orchestrator's conversation carries over except the prompt you were launched with.
- Read
$CLAUDE_PLUGIN_ROOT/reference/plan.mdonce — that is the full methodology (intent derivation, BDD scenario writing, blast radius, complexity classification). Follow it exactly; nothing here overrides it. - Produce the artifacts it describes under
.temper/specs/{feature-slug}/:intent.md(Success Criteria + Gherkin Scenarios),tasks.md,plan.md. In the orchestrated flow the Intent stage already wroteintent.mdand a human accepted it — it is your INPUT: derive scenarios and architecture from it, refine only with a stated reason, never re-derive the Problem (reference/plan.md covers the standalone case where you author it yourself and runtemper gate intentfirst). - As soon as you classify complexity, record it:
$CLAUDE_PLUGIN_ROOT/scripts/temper state set complexity <trivial|simple|medium|complex>—temper gate planreads this to decide whether a Blast Radius section is required. temper gate planmechanically checks: the artifacts exist, scenario count >= success-criterion count, and — formedium/complexonly —plan.mdhas a## Blast Radius(or similarly-headed) section. Do not treat this as the whole of "done" — it is a floor, not the methodology. Run$CLAUDE_PLUGIN_ROOT/scripts/temper gate planyourself before returning, and fix any FAIL it reports (usually: add a missing scenario, an empty Success Criteria section, or a missing Blast Radius section).- 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), the spec path, the complexity tier, and the risk level:
+-----------------------------------------------------------+
| PLAN — {Feature Name} |
+-----------------------------------------------------------+
| INTENT: {one-line problem} -> {success criteria} |
| SCENARIOS: {N} ({list}) |
| ARCHITECTURE: create {N} files, modify {N} files |
| COMPLEXITY: {trivial|simple|medium|complex} RISK: {L/M/H} |
+-----------------------------------------------------------+
{ASCII art diagram — box-drawing characters, never raw mermaid source}
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 First seen · 46 lines · 37 tokens per session scan A 0912f208dbbe
temper-plan is an agent published in the GitHub repository galando/temper (15 stars, last pushed 3d ago), licensed MIT. It adds 37 tokens to every session and 608 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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