sweep
Skill1 starsChanged 4 months agoMITView on GitHub
Massive multi-agent audit sweep — the generalized FAB-project pattern. Fans out parallel domain auditors over a whole system (codebase, data stack, spec tree, product surface), adversarially verifies findings, and converges to a graded report where every finding lands as a ticket, gate, or patch. Use for "audit everything", pre-launch reviews, post-chaos reconciliation, or grading a stack against best-in-class.
21 other projects use a version of this.
Adopted by
Most recently taken up by
- AsiaOstrich/EngramGraphtheir own version, first seen Nov 8, 2026
- jisuzzzz/haechitheir own version, first seen Nov 8, 2026
- venhdev/skillstheir own version, first seen Nov 1, 2026
- AsiaOstrich/universal-dev-standardstheir own version, first seen Nov 1, 2026
- YSAA1/harness-workflowtheir own version, first seen Oct 30, 2026
- MH221B/skillstheir own version, first seen Oct 24, 2026
Used with
Projects with it also use incident, adr and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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Phase 1 of the prd-taskmaster pipeline: brainstorm-driven discovery. Delegates to superpowers:brainstorming in Interactive Mode (one adaptive question at a time), or self-brainstorms in Autonomous Mode when no user is present. Intercepts before the brainstorming chain hands off to writing-plans — this skill owns the exit. Extracts constraints, calibrates scale (Solo / Team / Enterprise), and advances the pipeline to GENERATE.
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MicrosoftSkilldiagnose
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nicolasestremSkillbrainstorm
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Other versions21 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 21
- fallow-rs/fallow★ 5.3ksame name
- simota/agent-skills★ 96same name
- optave/ops-codegraph-tool★ 94same name
- AsiaOstrich/universal-dev-standards★ 84same name
- enapt/SwarmLLM★ 82same name
- iamneilroberts/claude-skills★ 26same name
- jisuzzzz/haechi★ 17same name
- leek/agent-skills★ 5same name
- AsiaOstrich/EngramGraph★ 4same name
- YSAA1/harness-workflow★ 3same name
11 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 2 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 15 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 50
evidence format: every finding = one line of file:line / query / output proof — no vibes, no "seems like"
- Very specific: line 64
Every Critical/High gets a /refute pass by a verifier that did NOT find it: reproduce it or kill it.
- Distinctive: line 66
Only CONFIRMED findings may use the word "broken" in the report.
- Very specific: line 75
If --grade: score each dimension 1–5 against the best-in-class benchmark for its domain, WITH evidence per score.
- Distinctive: line 85
Every confirmed finding lands as exactly one of:
“Common” is measured: kept by at least 6 in 10 of the 15 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
/sweep — The Full-System Audit Fan-Out
The pattern behind every high-yield mega-audit (21-agent data audits, FAB-style architecture maps, exit dossiers): decompose into dimensions → independent parallel auditors → adversarial verification → graded synthesis → every finding becomes a mechanism. One agent can't hold a system; a swept fan-out can. This skill is the repeatable harness.
Siblings (if your workflow has them): a per-object forensic review skill goes
deep on ONE planning object against its claims; a cleanup skill is fix-first
reconciliation. /sweep is breadth-first discovery across a whole system —
it FEEDS both.
Invocation
/sweep data stack --grade # full-stack audit, scored vs best-in-class
/sweep ui/dashboard # product-surface sweep
/sweep docs/specs vs src --drift # spec-vs-reality sweep (mass /drift)
/sweep security # one dimension, full depthPhase 0 — Scope & dimension slate (inline, before any fan-out)
- Fix the boundary: what's IN the sweep (paths, schemas, surfaces) and what's explicitly OUT. An unbounded sweep never converges.
- Pick dimensions — default slate, prune/extend per scope:
- correctness (does it do what it claims) · spec-drift (mass
/drift) - security/permissions · performance/scale · data quality
- test coverage (real tests, not shells) · architecture/placement
(
/altitudeviolations, duplicated owners) · honesty (claimed-done vs actually-done — the completion-audit dimension) · UX/product (if user-facing)
- correctness (does it do what it claims) · spec-drift (mass
- Declare the sweep's own gates (
/gate): effort ceiling, and a finding budget ("if >N criticals in dimension X, stop sweeping and start fixing").
Phase 1 — Fan-out (parallel, one auditor per dimension)
Dispatch independent subagents/workflow stages, one per dimension. Each auditor's prompt MUST carry a handoff contract:
- the dimension's question, the scope boundary, where to look first
- evidence format: every finding = one line of
file:line/ query / output proof — no vibes, no "seems like" - severity grammar: Critical (wrong results / data loss / security) · High (will bite soon) · Medium (debt) · Low (polish)
- return findings as structured list, not prose
Auditors are blind to each other — convergent findings from independent auditors are the strongest signal a sweep produces. Note them explicitly.
Phase 2 — Adversarial verification (the step lazy sweeps skip)
Raw findings lie. Before synthesis:
- Dedup across dimensions (same root cause surfaces in many coats — use
/altitudeto name the shared layer). - Every Critical/High gets a
/refutepass by a verifier that did NOT find it: reproduce it or kill it. Verdicts: CONFIRMED / REFUTED / PLAUSIBLE. - Only CONFIRMED findings may use the word "broken" in the report. PLAUSIBLE ships in an appendix, clearly labeled.
Phase 3 — Graded synthesis
One report, led by the number that matters:
SWEEP: <scope> | <n> dimensions | X confirmed (C/H/M/L: a/b/c/d) | grade: B-- If
--grade: score each dimension 1–5 against the best-in-class benchmark for its domain, WITH evidence per score. The grade's job is honesty, not motivation — a B- that's real beats an A that isn't. - Convergent findings and systemic patterns first (three dimensions hitting
the same subsystem = an
/altitudeproblem, not three bugs). - The "what's NOT broken" section is mandatory — a sweep that only lists problems can't be used to decide what's safe to build on.
Phase 4 — Findings become mechanisms (or the sweep was theater)
Every confirmed finding lands as exactly one of:
- patch (fixed in the sweep's follow-up PRs, smallest first)
- ticket (filed with the evidence line attached, severity mapped)
- gate (a tripwire/CI check so the class can't recur — preferred for anything that recurred)
- accepted risk (
/verdict log, named human on the acceptance)
Close by logging the sweep itself: /verdict log SWEEP: <scope> | grade |
top systemic finding | date. The next sweep of the same scope starts by
diffing against this line — grades that don't move are the real report.
Rules
- Breadth-first, fix-later. Auditors that stop to fix lose coverage; the single exception is a Critical actively corrupting data — stop the sweep, raise it immediately.
- Cap the fan-out to what the finding budget can absorb. 21 agents producing 400 findings nobody triages is worse than 6 producing 40 that all land.
- Sweeps are periodic, not heroic: the value compounds when grade N+1 is compared against grade N.
Composes with
/drift(the spec-drift dimension),/refute(Phase 2),/altitude(dedup + systemic naming),/gate(sweep budgets + recurrence tripwires),/verdict(the sweep ledger line). If your workflow has a per-object deep-review or planning-review step, a sweep is its strongest input.
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