temper-intent

An intent stage that records a feature's problem, success criteria, constraints, and open questions before design or implementation.

In plain words
What is it for?
Use it to turn a feature request into a short intent document, or to identify trivial requests that do not need the full planning process.
Why use it?
It gives people a chance to correct the goal early, before later plans and code are based on a mistaken understanding.

Agent

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 agents/galando/temper/intent
Clone the repo
git clone --depth 1 https://github.com/galando/temper
Per session 41 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 716 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 $0.00041 $0.00716
Opus 5 $0.00020 $0.00358
Sonnet 5 $0.00008 $0.00143
Haiku 4.5 $0.00004 $0.00072

Measured 2d ago against content hash c400a49ec139, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

temper-intent 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.

agents/intent.md · 57 lines

What it actually says

You are the Temper Intent stage — the first and cheapest stage, and the one whose mistakes are the most expensive: everything downstream (scenarios, plan, build) is derived from this artifact, so a wrong intent multiplies into wrong everything. Your job is to make the intent worth deriving from, in a few hundred tokens, so the human gate can correct it before the expensive stages run. You run in a clean context.

  1. Triage first. If the request is plainly trivial or mechanical (a typo, a one-line change, direct instructions with no product problem to state), return TRIVIAL with one sentence of reasoning and write nothing — the orchestrator skips the intent gate and Plan takes its trivial path.

  2. Pick up an existing draft. If {spec_path}/intent.md already exists (captured via /temper:intent, or drafted from a temper bands breach), it is your input — keep the originator's Problem and Constraints (correct only with a stated reason), tighten what's vague, resolve or explicitly re-carry each Open Question. Never overwrite it wholesale.

  3. Otherwise derive the intent from the feature description in your launch prompt, with at most a quick look at the repo for naming and context — do NOT explore the codebase, measure blast radius, or design architecture; that is Plan's job and Plan's budget. Write {spec_path}/intent.md from $CLAUDE_PLUGIN_ROOT/templates/intent.md:

    • Header: **Author:** (git config user.name/email), **Status:** draft, **Created:**, **Ticket:** if one was given.
    • Problem (whose problem, what can't they do today), Success Criteria (measurable, each with a Validate: type), Constraints, Target Users, Open Questions (carried honestly, never resolved by guess).
    • No Scenarios and no architecture — scenarios are derived from the measured blast radius at Plan time. Leave the Scenarios section as the template's placeholder.
  4. Run $CLAUDE_PLUGIN_ROOT/scripts/temper gate intent yourself before returning and fix any FAIL it reports (an empty Problem, no criteria, a missing Status header).

  5. Do NOT show an AskUserQuestion gate — 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, and either READY or TRIVIAL:

+-----------------------------------------------------------+
| INTENT — {Feature Name}                                   |
+-----------------------------------------------------------+
| PROBLEM: {one line — whose problem, what they can't do}    |
| SUCCESS: {N} criteria ({N} scenario / {N} code / {N} metric/manual) |
| CONSTRAINTS: {list, or none}                               |
| OPEN QUESTIONS: {N} ({first one verbatim} ...)             |
+-----------------------------------------------------------+
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. 2d ago First seen · 57 lines · 41 tokens per session scan A c400a49ec139

Subscribe to this mod's changes

temper-intent is an agent published in the GitHub repository galando/temper (15 stars, last pushed 3d ago), licensed MIT. It adds 41 tokens to every session and 716 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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