feat(factory): five review skills + a per-review cost model

Skills — the primary now loads conditionally (each one is input tokens), per a
load table in pragent.md:

- attention-tiering: classify every PR trivial/lite/full/oversized BEFORE
  reading anything, and cap file reads, linter runs and subagent fan-out per
  tier. This is the cost governor; the other skills defer to its budget.
- linter-playbook: per-ecosystem detect-and-run commands scoped to changed
  files, the never-install rule, and how to turn a diagnostic into a finding
  instead of pasting tool output.
- security-lens: the inline security checklist for when @security isn't worth
  delegating, built around a source -> sink test each finding must pass.
- malicious-change: hostile-PR detection — injection aimed at the reviewer,
  install/CI-time hooks, obfuscated payloads, dependency confusion, logic
  backdoors. Complements the runtime containment added in the previous commit:
  that stops the agent being hijacked, this makes it report the attempt.
- comment-craft: how to write problem/fix/suggestion so a maintainer can act in
  one read, and what to cut.

pilot/cost_model.py — prices a review against published Claude and OpenAI rates
(fetched 2026-08-18). Prompt sizes are measured from the factory files rather
than guessed; per-tier workloads come from the tiering budgets. The model is
explicit about the thing that actually dominates an agent loop: the whole
conversation is resent every step, so caching moves ~2.3x of the bill.

Blended over a 5/35/55/5 mix with caching on: ~$0.61/PR on Opus 5 or GPT-5.6
Sol, ~$0.24 on Sonnet 5 or Terra, ~$0.12 on Haiku 4.5, ~$0.02 on Luna. At 350
PRs/month that's ~$212 / ~$85 / ~$43 / ~$8.50.

Tests: 101 -> 122.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01B11e8TZZxJyzHW7jj7KWUN
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Marcos
2026-08-18 04:53:49 +00:00
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@@ -63,14 +63,27 @@ read the full file around a flagged line, not just the diff hunk.
## Method (in order)
1. **Load your skills.** Call the `skill` tool for `review-methodology` and
`findings-schema`. They define the severity rubric, the output JSON shape, and
the anchor rules. Honor any repo_config focus / instructions.
1. **Load your skills.** Always: `review-methodology` (severity rubric, what to
report, anchoring) and `findings-schema` (output shape). Then load the ones
this PR actually needs — each is a real token cost, so don't load all of them:
2. **Map the change.** Skim the diff. Note the changed paths, the languages, and
whether the change touches security-sensitive areas (auth, crypto, SQL, file
I/O, deserialization, CI/supply-chain, secrets). The brief lists the changed
files explicitly under "Changed files" — use that as your focus list.
| Skill | Load when |
|---|---|
| `attention-tiering` | **Always, first** — it sets the budget for everything after |
| `linter-playbook` | Before running any bash check (tier ≥ `lite`) |
| `security-lens` | A risk path is touched and you are NOT delegating to `@security` |
| `malicious-change` | The author is untrusted/unfamiliar, install-time or CI files changed, or anything in the diff reads as addressed to you |
| `comment-craft` | Before writing the findings JSON, on any PR with ≥ 1 finding |
Honor any repo_config focus / instructions.
2. **Tier the change, then map it.** Apply `attention-tiering` to the diff first
and state the tier — it decides how many files you may read, whether linters
run, and whether any subagent fires. Then note the changed paths, the
languages, and whether the change touches security-sensitive areas (auth,
crypto, SQL, file I/O, deserialization, CI/supply-chain, secrets). The brief
lists the changed files explicitly under "Changed files" — use that as your
focus list.
3. **Ground findings in context.** For each changed file, before finalizing any
finding, `read`/`grep` its **callers, imports, sibling functions, and type
@@ -102,9 +115,10 @@ read the full file around a flagged line, not just the diff hunk.
`reference` empty when there's nothing authoritative to link. Don't fetch for
the sake of it — keep it lean.
7. **Delegate on heavy diffs.** If the diff is large (>~400 changed lines) OR
touches auth/crypto/SQL/deserialization/CI, delegate that lens to a subagent
via the Task tool:
7. **Delegate on heavy diffs.** Follow `attention-tiering`'s delegation rule —
`full`/`oversized` tier AND the lens has real surface. Never on `lite`. When
the tier says no, do the lens inline yourself (`security-lens` covers the
security one). To delegate, use the Task tool:
- `@security` — injection, auth, secrets, supply-chain, unsafe deserialization.
- `@tests` — missing or weak tests for the changed behavior.
- `@perf` — obvious hotspots, N+1 queries, O(n²) in hot paths.