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/discussnpx skills add swingerman/engineer --skill discussgit 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 | $0.00054 | $0.01223 |
| Opus 5 | $0.00027 | $0.00611 |
| Sonnet 5 | $0.00011 | $0.00245 |
| Haiku 4.5 | $0.00005 | $0.00122 |
Grade A, and why
discuss 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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
discuss
The upstream funnel of DAE — a divergent brainstorm (forked from superpowers:brainstorming) that ends in one of three outcomes: drop, park, or promote. Most ideas die here; some park as features/NNN-slug/ with status: parked; survivors promote to status: ready.
When to use
- Fresh —
/engineer.discuss, no argument. New exploration. - Continue —
/engineer.discuss <slug>. Resume a parked feature.
Not for: feature-work prep on an already-Ready feature (prime-context), or editing a committed feature (feature-edit).
Workflow
- Resolve + load — resolve the methodology root + manifest via
${CLAUDE_PLUGIN_ROOT}/scripts/dae_resolve.py(seereferences/resolving.md). LoadCHARTER.mdand the last ~20 lines of.engineer/discussions.log. With a slug arg: also load that feature'sfeature.md+ priorhandoffs/*-discuss.md; reject if its status isready/in-progress(→feature-edit) ordone. - Open — fresh: "What are you thinking about?" After the first prompt, soft-match the topic against parked feature titles/areas and against roadmap items (driver per
references/roadmap.md;local=${CLAUDE_PLUGIN_ROOT}/scripts/dae_roadmap.py list); if it matches a planned roadmap item, say so and offer to promote that item (carry itsidasroadmap_ref) rather than starting a disconnected idea. Continue mode: echo prior state in one line, then resume. - Brainstorm (divergent) — explore intent, scope, alternatives; one question per turn. Surface charter signals (e.g. payment paths cap autonomy), ADR connections, and "too big — decompose?" flags as they arise.
- Surface the outcome — at a natural inflection, recommend an outcome (promote / prototype / park / drop); the user confirms. Never auto-execute. If the user says "drop" but there's a concrete reason it's worth parking, ask once. When the idea is fuzzy, UX-heavy, or "I'll know it when I see it" — better answered by building than by talking — recommend the prototype path (
${CLAUDE_PLUGIN_ROOT}/references/two-paths.md): iterate a rough artifact fast, convert to spec later, same hardened end state. - Execute the outcome:
- Drop — append one line to
.engineer/discussions.log:<ISO-timestamp> | <slug> | dropped | <one-line why>. Draft the "why" from context; user confirms/edits. - Prototype — the idea is better built than specced: hand to the
prototypeskill (/engineer.prototype "<idea>") instead offeature-init. It iterates fast, then converts to spec (promote) into the pipeline later — the prototype-first entry (${CLAUDE_PLUGIN_ROOT}/references/two-paths.md). Do not create a feature here;prototype's promote does that on convergence. - Park — invoke
feature-initwithfeature_intake { status: parked, autonomy_level: null, ... }. - Promote — first resolve
autonomy_level(low/medium/high, charter caps surfaced); if the user can't decide, fall back to park. Then invokefeature-initwithstatus: ready. If the idea came from a roadmap item, pass itsroadmap_refsofeature-initback-links and marks it in-progress (seereferences/roadmap.md). - Keep the roadmap alive — when an idea is too big and decomposes into several future features, or you park something strategically worth tracking at the feature-list altitude, offer once to add it as a roadmap item (driver
upsert,status: planned, a horizon) so the strategic layer stays current beyond onboard-time. The user's call — never auto-add. Skip silently ifmanifest.roadmap.typeisnone/unreachable.
- Drop — append one line to
- Handoff — for park/promote, write a
<timestamp>-discuss.mdhandoff into the new feature folder. For drop, the log line is the record — no handoff.
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 · 43 lines · 54 tokens per session scan A 3ca0625c1d09
discuss is a skill published in the GitHub repository swingerman/engineer (144 stars, last pushed 6d ago), licensed MIT. It adds 54 tokens to every session and 1,223 once invoked, about $0.0003 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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