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Skills/docs/agent-template.md
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Brummel a75a821a29 fix(implement-loop): guard plan-extract against silent truncation on big plans
The plan-extract step pulled every requested task's verbatim block through a
single schema-bound agent() response. On a large plan that response self-limits
and returns a well-formed PREFIX (commonly just task 1); the only guard rejected
an empty list, so a truncated non-empty subset ran to a clean DONE with the
missing tasks never attempted, yet the end-report read as a completion.

Replace the single-shot dump with an enumerate pass + per-task extraction,
guarded by cardinality checks (issue #22 suggested either direction; this does
both, plus a backstop the issue did not scope):

- plan-index enumerates ids + one-line titles only (bounded output, self-limits
  far later than a verbatim dump) and reports total_tasks, the whole-plan count
  computed from the fully-readable plan text independently of the emitted list.
- plan-extract:<id> carries one task's verbatim block per agent() call, removing
  the across-all-tasks output ceiling. Calls fan out via parallel() (which
  honours the concurrency cap on a big plan); the requested id is bound inside
  each thunk and results are re-associated by it, never by array position, so
  the mapping holds regardless of the order parallel() resolves in.
- Cardinality guards: (a) the whole-plan enumerate must list exactly total_tasks
  (the only backstop the no-range path can have without a caller range); (b) a
  task_range must be well-formed and covered exactly by the plan; (c) every
  expected id must extract non-empty text. Any breach is a hard BLOCKED with a
  precise "got N of M" reason, never a silent short run.

Known residual (documented in-code): a single task whose own verbatim body
overflows its dedicated response still returns an accepted prefix — bounded only
by the planner's bite-sized-task invariant, far narrower than the closed vector.

Verified by driving the real script through 11 extraction scenarios in a stubbed
harness plus an order- and self-id-independence association test, and an
adversarial three-lens review of the diff.

closes #22
2026-07-06 14:14:36 +02:00

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# Agent template
Every agent file follows the same structure. Deviations need a
named reason in the agent's own body. The template was distilled
from the AILang in-tree agents and refined to remove project-
specific identifiers.
## File layout
```
---
name: <agent-slug>
description: <third-person, "Use when…" or role description>
tools: <comma-separated tool list>
model: <opus | sonnet>
effort: <xhigh | high>
---
> Violating the letter of these rules is violating the spirit.
## What this role is for
<one short paragraph naming the failure mode the agent exists
to prevent>
## Standing reading list
<list of always-binding documents — the fixed always list (`CLAUDE.md`
plus `git log -10 --format=full`), the per-role standing reading the
project lists in its CLAUDE.md project facts, and the project's glossary
if it has one>
## Carrier contract
<what the dispatching skill hands the agent: task_text, diff,
hypothesis, etc. Agents do NOT open the project's plan or spec
directories directly — context curation lives at the skill level>
## Iron Law
<the non-negotiable rules of this role, as a code-fenced block of
short imperative lines>
## The Process
<numbered steps>
## Status protocol
<which terminal states this agent uses, and what evidence each
state requires>
## Output format
<word-budgeted, structured>
## Common Rationalisations
| Excuse | Reality |
|--------|---------|
| … | … |
(Calibrated to the past failure modes of this role.)
## Red Flags — STOP
- If you're about to do <X>, stop.
- …
```
## Frontmatter conventions
### `name`
The agent slug, lowercase kebab-case. No project prefix (the
old `ailang-*` prefix was an AILang-only convention; the
plugin's agent path is enough disambiguator).
Examples: `architect`, `bencher`, `debugger`, `implementer`,
`tester`, `fieldtester`, `docwriter`, `grounding-check`,
`spec-skeptic`, `plan-recon`, `spec-reviewer`, `quality-reviewer`.
### `description`
One sentence. Third-person. Either "Use when…" or a role
description. This is what the orchestrator (or a skill) reads
to decide whether to dispatch the agent — keep it sharp.
### `tools`
Comma-separated list of Claude Code tool names. No agent
receives `Agent` in its tools (no nested subagent dispatch).
The dispatching skill composes; agents do not call other
agents.
Common tool sets:
- Read-only review (architect, spec-reviewer, quality-reviewer,
grounding-check, spec-skeptic, plan-recon): `Read, Glob, Grep, Bash`
- Implementation (implementer, tester, debugger, docwriter,
fieldtester, bencher): `Read, Edit, Write, Bash, Glob, Grep`
The autonomous execution loops are **Workflow scripts**, not agents
(`implement/workflows/`): they orchestrate the implementation phase
agents from the top level via `agent()` calls. The agents they
dispatch still carry no `Agent` tool — the no-nested-dispatch rule is
unchanged; the workflow simply does the orchestration the retired
`implement-orchestrator` agent used to fake with inline role-switches.
### `model`
Mandatory. Every agent pins an explicit model — `opus` or `sonnet`,
nothing else. An omitted field means the agent inherits the *session*
model, which routes the dispatch to whatever the user happens to be
chatting on (possibly `fable` — banned for all plugin agents and
workflows, by owner decree). Pinning removes that coupling.
Assignment rule, in priority order:
1. **Consequence of a miss** — agents whose errors silently poison
downstream work (adversarial gates, root-cause diagnosis,
architecture judgment) run `opus`. Opus is the documented
strength for code review, debugging, and deep reasoning.
2. **Mechanical scope** — tightly-scoped execution of a pre-made
plan, recon, extraction, compliance-diffing run `sonnet`
(near-opus coding quality at lower latency and cost).
3. **Volume × wall-clock** — agents dispatched per-task inside
loops or fanned out in parallel swarms multiply their model's
latency; they run `sonnet` unless rule 1 overrides (currently
only `quality-reviewer`, the loop's last correctness gate).
Current distribution: `opus` — architect, bencher, debugger,
fieldtester, grounding-check, plan-recon, quality-reviewer,
spec-skeptic, tdd-author. `sonnet` — docwriter, glossary-extractor,
implementer, spec-reviewer, synthetic-user, tester.
The same rule binds Workflow scripts: every `agent()` call passes an
explicit `model:` option (see the model-policy header comments in
`implement/workflows/*.js`).
### `effort`
Mandatory. Every agent pins an explicit reasoning effort — one of the
harness levels `low | medium | high | xhigh | max`, of which the plugin
uses two. An omitted field means the agent inherits the *session*
effort, coupling every dispatch's thinking budget to whatever the user
happens to be chatting at — the same session-state coupling the `model`
pin exists to remove. Effort follows the model split:
- **`xhigh` on every `opus` agent.** The judgement roles are the
pipeline's quality floor; their thinking budget must not silently
degrade because the session runs lower.
- **`high` on every `sonnet` agent.** Tightly-scoped execution of a
pre-made plan gains little from `xhigh` but pays its latency on
every dispatch — and these are exactly the roles dispatched
per-task inside loops (wall-clock is the pipeline's efficiency
metric). Not lower than `high`: a sloppy in-loop step triggers
re-loops that cost more wall-clock than the saved thinking.
Workflow scripts pin a third tier inline: schema-bound
extraction/verification stages that author no code (preflight,
plan-index, plan-extract, mini-verify, tree-check, finalize, build/suite verify)
run `medium` via the `agent()` call's `effort:` option. As with
`model:`, every `agent()` call passes `effort:` explicitly — whether
frontmatter effort propagates through an `agentType` dispatch is
undocumented, so the scripts do not rely on it (see the policy header
comments in `implement/workflows/*.js`).
## Sections in detail
### Spirit-letter lead-in
The single line `> Violating the letter of these rules is
violating the spirit.` is mandatory at the top. It exists to
forestall the "well, technically I didn't break the rule" class
of rationalisation.
### What this role is for
One short paragraph. Names the failure mode the agent exists to
prevent — not the success mode it enables. Failure-mode framing
is sharper for the model: "this role exists because past attempts
to do X without a dedicated reviewer led to Y" reads more
forcefully than "this role helps with X".
### Standing reading list
The plugin's skill body composes this list and passes it to the agent
via the carrier. It is built from a fixed always list — `CLAUDE.md`
plus `git log -10 --format=full`, binding on every role — extended by
the per-role standing reading the project lists in its CLAUDE.md project
facts. The agent's body says, prosaically: "Read everything in the
standing reading list before doing anything else."
When the project's CLAUDE.md project facts name a glossary path, that
glossary is implicitly part of the always list, so every role reads the
project glossary without a per-role entry.
The agent file itself does not hardcode file paths.
### Carrier contract
The carrier is the small payload the skill hands the agent. It
typically includes:
- `task_text` — the spec excerpt or plan task verbatim
- `diff` — for reviewers, the diff to review
- `hypothesis` — for the bencher, what it should test
- `bug_symptom` — for the debugger, the observable misbehaviour
- `drift_focus` — for the architect, what part of the ledger to
check
Agents do **not** open the project's plan or spec directories
directly to fish for context. Context curation lives at the
skill level so the orchestrator can see exactly what each agent
was told.
### Iron Law
A code-fenced block of short, imperative rules. These are the
rules the agent will violate if it rationalises. Calibrate to past
failure modes — abstract rules don't land; rules anchored to a
named past mistake do.
### The Process
Numbered steps. Each step is concrete — "Read X", "Run Y",
"Write to Z" — not abstract phases like "explore" or "synthesise".
### Status protocol
Specifies which terminal states the agent uses (see
`pipeline.md`) and what evidence each state requires. For
example: `DONE` requires "build green AND tests green AND no
new warnings".
### Output format
Word-budgeted. Structured — usually a small set of named
sections the orchestrator can quote in its commit body. The
budget prevents agent reports from drowning the orchestrator's
context.
### Common Rationalisations
A table of excuse → reality. Calibrated to the past failure modes
of this role. The point is to short-circuit the rationalisation
before it derails the agent's process.
### Red Flags — STOP
Bullet list of "if you're about to do this, stop" signals.
Concrete, not abstract. "If you're about to write a fix without
a failing test, stop" beats "be disciplined".