pi-goals/README.md

pi-goals

Plan mode for agreeing on goals before any code gets written. Each goal names the subtle failure mode that could fake a "done" and the discriminator that tells real success from it. Everything lives in one markdown file, .pi/plan.md, which the agent edits with its normal edit tool and which is injected verbatim every turn so it survives compaction. A goal is signed off only after a fresh read-only judge checks its evidence against the repo.

Design bet (v2): the plan file is for LLMs and the human, not for TypeScript. There is no parser and no schema. The format is a convention taught by a prompt; the judge, being a model, reads the file natively, finds the claimed goal itself (wording drift is fine), runs the goal's verify command itself, and validates the evidence in words. This deleted ~800 lines of v1 (parser, exact-string goal matching, verify runner, JSON-stream judge transport, review menus) and with them the footguns they caused.

Like pi-milestones and burneikis/pi-plan, it guides rather than guards. pi-lgtm was my earlier, more complex attempt.

Install

pi install npm:@wassname2/pi-goals

Or run it without installing:

pi -e npm:@wassname2/pi-goals

Use

/goals CSV export for the report view

/goals enters plan mode and starts a conversation; the objective is an optional seed. From there:

1. Plan. The agent explores read-only (edit/write are blocked except on the plan file itself), asks about anything unclear, and drafts the goals into .pi/plan.md.
2. Review. Read the file; a two-option prompt asks Ready or keep planning. To revise, just reply.
3. Work. Each turn the whole plan file is injected (byte-identical when unchanged, so the KV cache holds), plus a reminder when the file went untouched for a turn. The agent ticks subtasks, appends to ## Log, fills evidence:, and calls CompleteGoal when a discriminator is satisfied.

Other commands: /goals clear empties the plan file; /goals judge <model-ref> picks a specific model for the sign-off judge (default: your current session model, else pi's default).

The plan.md format (a convention, not a schema)

# ship the cache layer

Latency target came from the SLO review; keep the existing client API.

## Goals

1. [/] goal: Implement cache layer
  - subtle failure mode: cache silently bypassed, latency ok by luck
  - discriminator: hit-rate > 0.8 in load-test.log (a bypass reads ~0)
  - verify: pytest tests/cache -q && python bench/p95.py --max-ms 50
  - tasks:
    1. [x] wire cache client
    2. [/] eviction policy
  - evidence:
    - > load-test.log: p95=41ms, hit-rate 0.93 (not bypassed)

# Future work / out of scope

## Log
- 2026-06-15 14:02  cache client wired; eviction next

• A goal is a checkbox line beginning goal: ([ ] open, [/] active, [x] done, [-] cancelled). That one line pattern is the only thing the extension itself reads, for the widget.
• The discriminator is the success test, written while planning: the positive observation that the goal succeeded and that none of the subtle failure modes could fake. evidence is the proof, filled at sign-off: each item pairs a durable artifact with a short read of it.
• Small format deviations are fine; the file is read by the human and the judge, not a parser.
• The agent prunes finished goals itself when the file gets long (evidence survives in git history and ## Log).

Signing off a goal (CompleteGoal)

CompleteGoal(goal) is the one blessed tool. It spawns a read-only pi subprocess (-p --no-session --no-extensions, tools read,bash,grep,find,ls, edit/write excluded) with the whole plan file and the claimed goal. The judge finds the goal, re-derives from the cited artifacts rather than trusting claims, runs verify if the goal names one, and returns VERDICT: accept | reject plus what's missing.

• accept: a sign-off line is appended to ## Log and the agent ticks the goal [x] itself. The tool-written log line is the audit trail; a hand-tick without one shows in the diff.
• reject: the goal stays open and the agent gets the missing list.
• judge ran but failed/errored/timed out, or returned no VERDICT line: accepted inconclusive, logged as such. There is no pre-emptive "no model" path -- a null judgeModel just omits --model so pi's configured default runs the judge, so inconclusive always means "ran but failed", never "couldn't start". The working agent is never blocked on judge infra.

Prompts

All model-facing text lives in src/prompts.ts, in flow order.

Develop

pi -e ./src/index.ts        # load locally
npm test                    # vitest: judge argv invariants + appendLog
npm run typecheck
npm run lint

License

MIT