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Ruvnet/Pod Sales — measured AI agent skill | DecimalAI

ruvnet/pod-sales

SkillScore91Maintained

Run one tick of the sales business-pod (ADR-164 §4.1, Phase 2). Loads templates/sales.json, validates it against the pod-schema, resolves agents against ruflo's agent registry, reserves budget via the Phase-2 file-based stub ledger (atomic SQLite tracker is Phase 3 per ADR-164.1), constructs per-agent dry-run prompts, posts a summary envelope to room "sales" via the federation_bbs_publish JSONL backing store, and emits a structured {podName, tickId, agentsRan, totalUsd, envelopeId, status} line

by ruvnet

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Sales & GTM pack

decimalai skills pull ruvnet-pod-sales

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/ruvnet-pod-sales/SKILL.md

Raw file: /s/ruvnet-pod-sales/SKILL.md ↗ · machine-readable summary at /s/ruvnet-pod-sales.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 2d ago

—-11% tokens0% turns91% of whole cases pass with skill (20/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-03	✗→✓	▲ Improved	65%	0%
case-04	✗→✓	▲ Improved	0%	0%
case-06	✗→✓	▲ Improved	-64%	0%
case-07	✗→✓	▲ Improved	-51%	0%
case-10	✗→✓	▲ Improved	37%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/2/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

ruvnet / ruflo

plugins/ruflo-business-pods/skills/pod-sales/SKILL.md

View on GitHub ↗

License MITImported 8/2/2026Version v1

Skill contents

SKILL.md

Surfaces pod-tick.mjs as a single-shot skill for the sales pod. Use when Claude Code needs to demonstrate, smoke-test, or schedule one iteration of the sales autopilot without spawning real LLM workers.

Algorithm

Implementation: scripts/pod-tick.mjs.

Parse args (--pod-template, --base-path, --dry-run / --live,

--budget-cap-usd, --tick-id). --live is refused with exit code 3 in Phase 2.

Load the pod template JSON (default: templates/sales.json).
Validate via validatePodTemplate(json) — schema in

v3/@claude-flow/cli/src/business-pods/pod-schema.ts and inlined in pod-tick.mjs so the script runs without a built CLI. Throws with a JSON-pointer path on the first violation.

Resolve every agent.agentType against KNOWN_AGENT_TYPES. Unknown

types abort with exit code 2 and an actionable error.

Reserve min(budgetUsdPerRun, --budget-cap-usd) USD against the

file-based ledger at <base-path>/budget/<roomId>.json. Honors reservationExpiryMs (default 60_000 ms, bounded to 5000, 300000] per ADR-164.1 §3.2). TODO(adr-164.1): swap the file ledger for the atomic SQLite tracker in Phase 3.

Build per-agent prompts (kickoff scoped to the bench description +

pod's PII policy). In --dry-run they are logged to stderr and the model is never invoked.

Commit the reservation. Dry-run actual = $0; live actual = the

reserved amount (Phase 3 wires real claude -p --max-budget-usd reporting).

Append a pod-status envelope to the Phase-1 backing store at

<base-path>/.agentbbs/room-<derivedRoomId>.jsonl so subsequent federation_bbs_watch calls see the tick.

Emit a single JSON line on stdout:

{podName, tickId, agentsRan, totalUsd, envelopeId, status}.

Exit codes

0 — tick succeeded (status === 'success')
2 — invalid template / unknown agent type / budget exhausted / arg error
3 — --live requested (refused in Phase 2)

Phase 3 surfaces (not in this build)

--live mode: dispatch each prompt through claude -p headless or a

Managed Agent and capture the actual --max-budget-usd reported spend.

Atomic SQLite budget tracker (ADR-164.1 §3.2).
Multi-pod variants (pod-marketing, pod-finance, ...) — each gets its

own skill once Phase 3 ships.

Want to see if ruvnet/pod-sales would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.