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.
npx agentmods add skills/swingerman/engineer/plannpx skills add swingerman/engineer --skill plangit clone --depth 1 https://github.com/swingerman/engineerWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00042 | $0.02381 |
| Opus 5 | $0.00021 | $0.01190 |
| Sonnet 5 | $0.00008 | $0.00476 |
| Haiku 4.5 | $0.00004 | $0.00238 |
Grade A, and why
plan 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.
How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
plan
Produce a feature's architecture plan — Checkpoint 4, the most consequential architectural checkpoint. Where engineering authority over code design and performance is exercised: the agent proposes, the human decides.
Mixed mode — the agent proposes the architecture, the human confirms it, then the rest of the plan is drafted.
When to use
After discover-acs (Checkpoint 2) and atdd:atdd (Checkpoint 3). Produces plan.md.
If spec.md is missing, warn — planning should follow spec formalization — but the user may override and plan from acs.md alone (flag the skipped step in the handoff).
Not for: Given/When/Then specs (atdd:atdd); small changes to an existing plan (feature-edit).
Workflow
Step 0 — Entry gate. Before starting, verify the prior checkpoint is complete: run ${CLAUDE_PLUGIN_ROOT}/scripts/dae_handoff.py <feature-dir> --through 3. On a non-zero exit, stop and surface the gap to the human — do not proceed.
Verify branch hygiene: run ${CLAUDE_PLUGIN_ROOT}/scripts/dae_branch.py <feature-dir>.
On a non-zero exit, stop and surface the message to the human — switch
branches and re-invoke. The check honors the git.manual: true manifest
opt-out.
After the gate passes, show the pipeline breadcrumb: run
${CLAUDE_PLUGIN_ROOT}/scripts/dae_progress.py <feature-dir> and present its
output to the human — it shows where this checkpoint sits in the DAE pipeline.
The breadcrumb is advisory: a non-zero exit or a missing progress.md never
blocks the skill. Then create one TodoWrite todo per workflow step below. See
${CLAUDE_PLUGIN_ROOT}/references/progress-indicator.md.
- Resolve + load — resolve the methodology root + manifest via
${CLAUDE_PLUGIN_ROOT}/scripts/dae_resolve.py(seereferences/resolving.md); loadfeature.md,acs.md,spec.md,CHARTER.md. - Propose the architecture — draft only the Architecture section (components, data flow, where new code lives, coupling, key decisions + rationale + alternatives). Pin cross-track interface contracts: for any interface shared across parallel implementation tracks (a client and a backend built concurrently, two services, etc.), specify the exact wire contract — field names, casing, JSON shape, status codes — not a prose sketch or ASCII diagram. A loose contract forces the other track to reverse-engineer and guess (wsapi
/auth/firebasewas left as{idToken}with no casing; the parallel client shipped a snake_case guess that had to be reconciled later). This is the interface-pinning that makes parallel tracks safe — see${CLAUDE_PLUGIN_ROOT}/references/parallelism.md. Ground it in the actual code: prefer LSP —workspaceSymbolto locate the components you'll touch, call-hierarchy (incomingCalls/outgoingCalls) to map coupling and blast radius,findReferencesbefore proposing a change to a shared symbol — over grep, when an LSP MCP capability is available; fall back to grep + Read otherwise (see${CLAUDE_PLUGIN_ROOT}/references/code-lookup.md). Present it; iterate until the human confirms. Do not draft the rest until then. Gate-profile branch (see${CLAUDE_PLUGIN_ROOT}/references/gate-profile.md): the mid-way "iterate until the human confirms" stop applies when the feature'sgate_profileis absent, or whenautonomy_levelislow(lowsuppresses front-dialing — the human reviews everything). Underfront: bundledorautoatmedium/high, do not stop here — draft the architecture and the rest in one pass; the architecture is approved with the bundle at Step 6 (bundled) or trusted to the gauntlet + back gate (auto). Architecture stays a human decision underbundled; only when it's approved changes. - Draft the rest — draft the remaining sections. When
gate_profileis absent, the human confirms Step 2's architecture first, then reviews the finished file. Underbundled/auto, draft straight through. Letgate_profile.verifyset the Test strategy's back-gate depth:heavy→ an explicit human validation step named invalidation_method;light→ lean on the objective gates (acceptance + CRAP + mutation + gauntlet) and say so. - Charter Check — validate the plan against
CHARTER.md. Produce the two-part structured check: a compliance table (one row per charter rule, plus auto-rows for autonomy stance, verification independence, mutation policy, and — at high autonomy — performance budgets), and an Amendments section. Hard rule: never finish a plan with a ⚠️ deviation that lacks a matching amendment ADR. Either write the amendment inline, or stop and emit a handoff withhuman_action_needed: decision. - Write
plan.md— frontmatter (slug,checkpoint: 4,plan_status,created) + sections: Architecture, Charter Check, Phasing, Performance budgets, Collaboration schedule, Execution modes, Test strategy. Test strategy must explicitly incorporatefeature.md'svalidation_methodif it carries a non-default value — e.g. ifvalidation_methodis "canary 5% prod for 24h, watch dashboard X," the Test strategy section names the canary phase, the dashboard, and the rollback trigger. Ifvalidation_methodis absent, default to the standard DAE stack (acceptance + unit + mutation per charter) and say so explicitly. Declare the gauntlet bar in Test strategy when the feature has something to build against that the tests can't assert — a design export, a reference UI screenshot or URL, a reference implementation, a golden output. Emit thegauntlet:block (bar paths +capture:command +max_rounds) per${CLAUDE_PLUGIN_ROOT}/references/gauntlet.md; CP5 loops builder↔critic against it after green instead of handing the grading back to the human. No such reference exists → omit the block entirely; the absence is the opt-out and no gauntlet runs. A bar must be inspectable — never write prose ("matches the design system") or the ACs into it. A promoted prototype is the bar by default: iffeature.mdcarries aprototype:path (from theprototypeskill), declare that path as thegauntlet:bar automatically, with acapture:that renders/runs the candidate in the same form — the prototype is iteration 0's reference, no separate bar needed. - Review panel — dispatch the standing adviser + advocate pair against
plan.mdper${CLAUDE_PLUGIN_ROOT}/references/review-panel.md. This is the last gate before code exists, and a plan resting on a false premise is the most expensive thing to discover at CP5 — one ei-theme plan's central factual claim about a shared template turned out to be wrong, and only the advocate caught it. Give both briefs the source files the Architecture section makes claims about, not just the artifacts. Autonomy-keyed; skip silently when the plan is a one-module addition with no architectural argument. Fold the findings intoplan.md, then record every finding — accepted or rejected — aspanel_findings[]in the handoff. An unaddressederror-severity finding blocks the CP5 dispatch. - Generate
runbook.mdif the plan touches infra/operator steps — provisioning (cloud project create, billing link, API enablement), secrets management, console-only configuration, manual DNS, deploy-day toggles. Usereferences/runbook-template.md. Each step has[ ] humanor[ ] agentownership, optionalcommand:if runnable, andevidence:for completion. Deploy-related ACs (e.g. "site loads at staging URL") MUST NOT claim green until the runbook's prerequisite steps are checked off. If the plan has no infra/operator surface, skip — no empty file. - Handoff — emit a summary.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 63 lines · 42 tokens per session scan A e8d15c2605d1
plan is a skill published in the GitHub repository swingerman/engineer (146 stars, last pushed 6d ago), licensed MIT. It adds 42 tokens to every session and 2,381 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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