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https://github.com/boshu2/agentops.git
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16d764b5a1
## What changed - add `craft-goal`, a bounded Mayor-style goal compiler/linter for persistent campaigns over bead-shaped RPI experiments - add its Codex and Gemini runtime projections plus generated catalogs, manifests, router, graph, maps, tiers, and registry entries - split RPI reporting into two explicit surfaces: concise human-readable interactive output by default, with the full `rpi-report.v1` object retained as the machine/audit artifact - add feature and validation assertions that prevent raw schema dumps from becoming the default interactive response again ## Why Recent AgentOps history repeatedly showed long-running goal campaigns confusing the outer goal with one RPI experiment. It also exposed a presentation bug where the RPI skill instructed agents to paste the transport-shaped YAML report into chat. This change captures the corrected goal model and keeps machine evidence separate from the operator-facing response. ## Validation - `bash scripts/regen-all.sh --check` - `bash skills/craft-goal/scripts/validate.sh` - `bash skills/rpi/scripts/validate.sh` - `python3 -m unittest skills/rpi/tests/test_run_once.py` - Codex parity, generated-artifact, and override-coverage checks - `git diff --check origin/main...HEAD` - `bash scripts/ci-local-release.sh --fast` ran all branch-relevant checks successfully; its aggregate exit remained nonzero only for the pre-existing `skills/using-gc` description-budget violation, which is unchanged from `origin/main`
1.4 KiB
1.4 KiB
AgentOps skill graph
graph LR
account_rotation["account-rotation"]
agent_mail["agent-mail"]
agent_native["agent-native"]
agy_native["agy-native"]
automation_shape_routing["automation-shape-routing"]
bootstrap["bootstrap"]
cass["cass"]
cc_hooks["cc-hooks"]
codebase_recon["codebase-recon"]
codex_exec["codex-exec"]
converter["converter"]
council["council"]
craft_goal["craft-goal"]
dcg["dcg"]
doc["doc"]
domain["domain"]
goals["goals"]
handoff["handoff"]
idea_genie["idea-genie"]
implement["implement"]
learn["learn"]
ms["ms"]
ntm["ntm"]
operationalize["operationalize"]
pattern_mining["pattern-mining"]
plan["plan"]
postmortem["postmortem"]
premortem["premortem"]
product["product"]
rch["rch"]
reality_check["reality-check"]
refactor["refactor"]
research["research"]
reverse_engineer["reverse-engineer"]
rpi["rpi"]
sbh["sbh"]
scaffold["scaffold"]
scope["scope"]
security["security"]
shared["shared"]
skill_builder["skill-builder"]
standards["standards"]
status["status"]
swarm["swarm"]
test["test"]
toil_mining["toil-mining"]
using_gc["using-gc"]
validate["validate"]
workflow_builder["workflow-builder"]
rpi --> implement
rpi --> plan
rpi --> validate
Hard dependencies only. Optional context relationships are listed in the context map.