Rule Writing

---
model_tier: inherit
name: rule-writing
description: "Use when creating or editing a rule in .agent-src.uncondensed/rules/ — trigger wording, always vs auto classification, size budget — even when the user just says 'add a rule for X'."
domain: process
workspaces:
  - agent-config-maintainer
packs:
  - meta
---

<!-- cloud_safe: degrade -->

# rule-writing

## When to use

* Creating a new rule in `.agent-src.uncondensed/rules/{name}.md`
* Rewriting an existing rule (not a typo fix)
* Deciding whether something should be a rule at all
* Converting a learning from `learning-to-rule-or-skill` into a concrete rule

Do NOT use this skill when:

* The content is a multi-step workflow → use `skill-writing`
* The content is reference material agents cite → use `guideline-writing`
* The content is a user-invoked action → use `command-writing`

## Rule vs skill vs guideline — critical test

| Intent | Artifact |
|---|---|
| "Agent must always/never do X" | **Rule** |
| "When Y happens, run these steps" | **Skill** |
| "Here is knowledge the agent may cite" | **Guideline** |

A rule is a **constraint** — it states a boundary, not a workflow. If the
content needs numbered steps, it is a skill.

## Procedure

### 0. Run the Drafting Protocol

Creating or materially rewriting a rule **must** go through Understand →
Research → Draft from the
[`artifact-drafting-protocol`](../../rules/artifact-drafting-protocol.md) rule.

* **Understand** — which agent behavior is wrong today? What should change?
  Can you point to a concrete incident or repeated pattern?
* **Research** — **inspect** `.agent-src.uncondensed/rules/` for overlap
  and **analyze** `rule-type-governance`, `size-enforcement`,
  `skill-quality` before drafting.
* **Draft** — propose frontmatter (`type`, `description`) first, wait for
  confirmation, then fill the body.

### 1. Classify type — `always` vs `auto`

Normative source: [`rule-type-governance`](../../rules/rule-type-governance.md).

* `always` — universal behavior (language, scope, safety, verification)
* `auto` — triggered by description match on domain/symptom

Default to `auto`. `always` must be justified — if >50% of conversations
don't need it, it is `auto`.

### 2. Write a trigger-style description

The `description` field **is** the trigger. Describe **when** the rule
applies, not **what** it contains. Soft cap: **200 characters**.

```yaml
# Bad — describes content, won't match reliably:
description: "PHP coding standards"

# Good — trigger-shaped, names domain + symptoms:
description: "Writing or reviewing PHP code — strict types, naming, comparisons, early returns, Eloquent conventions"
```

When iterating on phrasing, delegate to the
[`description-assist`](../description-assist/SKILL.md) skill — approval-gated,
no silent edits, max two rounds.

### 3. Write the rule body

* Short, constraint-only, easy to scan.
* Bullet lists, tables, do/don't blocks — not paragraphs of prose.
* No numbered procedures — if you need steps, it is a skill.
* Link out to guidelines for deep reference instead of inlining them.

### 3b. Path conventions in frontmatter and body — load-bearing

Three different surfaces, three different rules. Mixing them up will
either fail the schema (`python3 scripts/validate_frontmatter.py`) or
fail `python3 scripts/lint_load_context.py`. Canonical reference:
[`templates/rule.md`](../../templates/rule.md) § Path conventions and
[`docs/contracts/load-context-schema.md`](../../../docs/contracts/load-context-schema.md).

| Field | Form | Example |
|---|---|---|
| `load_context:` / `load_context_eager:` | **Logical name** rooted at the source — never `.agent-src.uncondensed/` | `contexts/execution/verification-mechanics.md` |
| `triggers[].path_prefix:` | **Literal match pattern** the host evaluates against the file the agent is editing — not rewritten | `.agent-src.uncondensed/skills/` (source-of-truth rules) or `agents/`, `app/`, `.augment/` |
| Body links to guidelines / contracts | **Verbatim relative form** — `../../docs/...` works in any markdown viewer; rewriter handles depth | `[guideline](../../docs/guidelines/<group>/<name>.md)` |

The condense-time rewriter (`scripts/condense.py::_rewrite_paths`) is
idempotent and depth-aware — it resolves logical names and body links
to the deployment-correct relative path at condense time, leaving
`path_prefix:` literally as written. The schema regex
(`scripts/schemas/rule.schema.json`) and `scripts/lint_load_context.py`
both reject the `.agent-src.uncondensed/` prefix in `load_context:` /
`load_context_eager:` with an error pointing at the canonical logical
name.

### 4. Enforce the size budget

Normative source: [`size-enforcement`](../../rules/size-enforcement.md) +
`docs/guidelines/agent-infra/size-and-scope.md`.

| Category | Target |
|---|---|
| Ideal | < 60 non-empty lines |
| Acceptable | < 100–120 lines |
| Hard limit | < 200 lines |

Linter emits `long_rule` above ~80 non-empty lines. Above that, justify in
the PR or split by responsibility.

### 5. Validate

* Run `python3 scripts/skill_linter.py .agent-src.uncondensed/rules/{name}.md`
  → must report **0 FAIL**.
* Run `bash scripts/condense.sh --sync` to regenerate `.agent-src/rules/{name}.md`.
* Run `python3 scripts/condense.py --generate-tools` to project into `.claude/`, `.cursor/`, `.clinerules/`, `.windsurfrules`.
* Run the full CI pipeline locally (see `Taskfile.yml` in this repo for
  the script list) — must exit 0 except for tolerated warnings.

### 5b. Budget-discipline gate — hard stop

After validation, before declaring the rule done, run:

```bash
python3 scripts/measure_augment_budget.py --check
```

If utilisation is `≥ 0.95` (or the check exits non-zero), **STOP** and
invoke [`rule-refactor`](../rule-refactor/SKILL.md). Do NOT:

* Trim the new rule further to "just fit" — if it needs that body to
  do its job, the rule is right and the rule set around it is wrong.
* Raise `FAIL_THRESHOLD` in `scripts/measure_augment_budget.py` —
  threshold-lift is explicitly forbidden (see the
  [`validation-budget`](../../rules/validation-budget.md) rule and
  the `rule-refactor` Iron Law).
* Promote an always-rule to auto to dodge the cap if the rule's
  semantics require always-on visibility — that breaks the rule, not
  the budget.

The discipline: budget pressure is the signal that the rule **set**
needs a cleanup pass, not that the new rule needs to be smaller. The
`rule-refactor` skill runs the audit and proposes merge / delete /
move-to-context / promote-to-skill so the new rule earns its space.

### 6. Governance baseline (when introducing a new linter check)

**Advisory, reviewer-checked — no CI gate.** When the same PR adds a
new check to `scripts/skill_linter.py` (or strengthens an existing
one) such that previously-clean rules now warn, the PR body MUST
record the pre-existing violations on `main` in a Markdown table:

```markdown
### Pre-existing baseline (informational)

| Code | Count on main | Bucket |
|---|---:|---|
| {new_code} | N | (a) genuine fix · (b) accept · (c) check too aggressive |
```

Forward-only: the new check applies to **the rule under review** and
to **future** edits. The baseline table is informational so reviewers
can distinguish genuine debt from acceptable carry-overs without
diffing the full lint output. See
`agents/evidence/analysis/lint-warning-triage.md` for the 3-bucket reference.

## Frontmatter shape

```yaml
---
type: "auto"              # or "always"
description: "Trigger-shaped sentence — domain + symptoms — soft cap 200 chars"
alwaysApply: false        # true only if type: always
source: package           # or project for consumer-local rules
load_context:             # logical names only — `contexts/<area>/<file>.md`
  - contexts/execution/verification-mechanics.md
triggers:                 # path_prefix is literal, not rewritten
  - path_prefix: ".agent-src.uncondensed/rules/"
routes_to:
  - "skill:related-skill"
---
```

See § 3b above for the load-bearing distinction between `load_context:`
(logical, rewritten), `triggers[].path_prefix:` (literal, verbatim),
and body links (relative `../../docs/...`, rewriter handles depth).

## Output format

1. Complete rule file at `.agent-src.uncondensed/rules/{name}.md`
2. Frontmatter fully populated, no placeholders left
3. Linter output showing 0 FAIL
4. Confirmation that `bash scripts/condense.sh --sync` + `python3 scripts/condense.py --generate-tools` ran clean

## Gotchas

* Writing a rule that duplicates an existing one — always grep first.
* Defaulting to `always` "just in case" — token cost is real, `auto` is default.
* Description like "Rule about X" — it must describe *when*, not *what*.
* Pasting a workflow into a rule — if it has numbered steps, split into a skill.
* Forgetting to run `python3 scripts/condense.py --generate-tools` — downstream tools stay stale.
* Editing `.agent-src/rules/` or `.augment/rules/` directly — those are generated.

## Frugality Standards

Apply the [Frugality Charter](../../contexts/contracts/frugality-charter.md)
to every rule you author.

**Examples in this artifact:**
- Per the charter's default-terse rule, no intent prose in the rule
  body — start with the obligation, not a setup paragraph.
- Per the Iron-Law literal predicate, ALL-CAPS fenced obligations
  belong only when the rule sits on the
  [`kernel-membership`](../../../docs/contracts/kernel-membership.md)
  list.
- Per the cheap-question check, the rule's "When to ask" guidance
  must list decidable triggers, not vibe-based judgment.

**Pre-save self-check:**
1. Does the rule body open with the obligation, or with a setup
   paragraph?
2. Are any examples mere narration (no decidable test)?
3. Are ALL-CAPS Iron-Law blocks used outside a kernel-listed rule?
4. Are interactions duplicated from another rule rather than linked?

## Do NOT

* Do NOT inline long procedures
* Do NOT exceed the hard size limit without an explicit waiver
* Do NOT edit projections (`.agent-src/`, `.augment/`, `.claude/`, etc.)
* Do NOT skip the linter
* Do NOT create a rule when a guideline or skill is the right shape

## Cloud Behavior

On cloud surfaces (Claude.ai Web, Skills API) the package's
`scripts/skill_linter.py`, `scripts/condense.py`, and `task` runner
are not reachable. The skill still applies — with prose-only
validation:

* Emit the full rule file as a copyable Markdown block. Do not
  attempt to write to disk.
* Self-check the frontmatter against the rules: `type` is `always`
  or `auto`, `description` is trigger-shaped, `alwaysApply` matches
  `type`.
* Self-check the body: under the size budget (200 lines hard,
  120 soft), trigger sentence first, no embedded procedures.
* Tell the user to save under `.agent-src.uncondensed/rules/{name}.md`
  and run `task sync && task lint-skills` locally before committing.
* Do not call the linter or condenseor — they only run on the
  user's machine.

## Examples

Good description (trigger-shaped, names domain + symptoms):

> "Git commit message format, branch naming, conventional commits, committing, pushing, or creating pull requests"

Bad description (no trigger, too vague):

> "Commit conventions"