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作者 SHA1 备注 提交日期
Seth Hobson baa5bd7997 feat: add llm-finetuning and dgx-spark-ops plugins (eval-gated fine-tuning lifecycle) (#624)
* feat(dgx-spark-ops): scaffold plugin and register in marketplace

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(dgx-spark-ops): add spark-environment-setup skill

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* fix(dgx-spark-ops): tighten spark-environment-setup per review

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(dgx-spark-ops): add spark-training-gotchas skill

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* fix(dgx-spark-ops): align preflight.sh output contract with docs

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(dgx-spark-ops): add spark-memory-thermal-ops skill

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* fix(dgx-spark-ops): trim spark-memory-thermal-ops and source 68GB anchor

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(dgx-spark-ops): add dgx-spark-ops-engineer agent

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* fix(dgx-spark-ops): defer agent facts to skills

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(dgx-spark-ops): add /spark-preflight command

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(llm-finetuning): scaffold plugin and register in marketplace

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(llm-finetuning): add finetuning-method-selection skill with dated model catalog

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(llm-finetuning): add lora-qlora-recipes skill

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(llm-finetuning): add preference-optimization skill

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(llm-finetuning): add grpo-rlvr-training skill

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* fix(llm-finetuning): add isolation warning to execution reward

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(llm-finetuning): add vision-sft skill

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(llm-finetuning): add dataset-curation skill

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* fix(llm-finetuning): correct loss-masking example in dataset-curation

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(llm-finetuning): add eval-harness-first skill (Phase 0 gate)

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* fix(llm-finetuning): bring eval-harness-first into line band

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* fix(llm-finetuning): reclaim byte headroom in eval-harness-first

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(llm-finetuning): add trace-to-training-data skill

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(llm-finetuning): add checkpoint-promotion skill

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(llm-finetuning): add quantized-export skill

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(llm-finetuning): add llm-finetuning-architect agent

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(llm-finetuning): add llm-finetuning-training-engineer agent

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(llm-finetuning): add llm-finetuning-eval-engineer agent

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(llm-finetuning): add /finetune phase-gated lifecycle command

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* fix(llm-finetuning): thread checkpoint path into /finetune Phase 6

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* feat(llm-finetuning): add /promote-checkpoint command

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* fix(llm-finetuning): thread checkpoint path via phase5.output in /promote-checkpoint

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* fix(llm-finetuning): robust checkpoint discovery and goldens fingerprint in re-gate

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* docs: register llm-finetuning and dgx-spark-ops (94 plugins, 203 agents, 175 skills, 109 commands)

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* docs(agents): add fine-tuning and spark-ops agent entries (203 agents)

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* chore: generate per-harness artifacts for llm-finetuning and dgx-spark-ops

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* fix: final-review cleanups for fine-tuning plugins

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* fix: address PR #624 review feedback (G1 NGC detection, Phase 3 fallback dispatch, registry metadata)

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* fix: enforce sandbox boundary in execution grader and reward examples

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* fix: address CodeRabbit review findings on PR #624

Verified and fixed 37 of 43 outstanding CodeRabbit findings across the
llm-finetuning and dgx-spark-ops plugins (skipping 6 confirmed false
positives/already-fixed, with reasons in the disposition report).

Highlights: cross-file contracts (goldens fingerprint persistence,
paired-arena stage numbering, canonical golden-ID field, RERUN
resolution before promotion) now match between finetune.md,
promote-checkpoint.md, and checkpoint-promotion's templates. TRL API
usages (SFTConfig.max_length, trl.experimental ORPO/CPO imports)
verified against live TRL docs rather than blindly renamed. Several
runnable examples hardened against real failure modes: malformed
judge output, empty arena results, non-distinct DPO pairs, unbounded
rejection-sampling fan-out, non-deterministic smoke-test comparisons,
silent FP8-to-bf16 fallback, and orphaned background thermal-sampler
processes. Container detection (G9) and LoRA adapter-size math fixed
in both dgx-spark-ops and llm-finetuning where the same bugs were
independently present in each plugin.

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* fix: apply dogfood friction-log remediations (F1-F32) from DGX Spark run

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf

* fix: address CodeRabbit round-2 findings (digest pins, suite-size math, monkeypatch scoping)

Claude-Session: https://claude.ai/code/session_01RsN3Vz5fZRTdVMkNtmxhSf
2026-07-14 13:18:02 -04:00
Burak Bayır c7dc145e81 Add hermes-tweet plugin (#582)
Adds the source-native `hermes-tweet` plugin (Hermes Agent X/Twitter research + approval-gated action workflows) with Claude/Codex manifests and a portable skill. Registered across the Claude, Codex, and Cursor marketplaces; catalog counts updated to 91 plugins / 162 skills. Maintainer disclosure present per the #611 policy. Verified: make validate STRICT=1 clean across 5 harnesses, make garden 0 errors.
2026-07-08 10:24:28 -04:00
Seth Hobson 9ab47ec442 docs: reconcile counts and catalog after batch plugin merge
After merging #575 (storymap-skill), #568 (runapi-mcp), #578
(before-you-build), #576 (file-conversion), #594 and #597, reconcile the
marketplace/doc counts to the true totals: 88 plugins (85 local + 3
external), 194 agents, 158 skills, 106 commands. Add catalog rows for
runapi-mcp (AI & ML) and storymap-skill (Workflows, external); fix the
defi-protocol-templates skills-table line (lending -> flash loans).
2026-06-25 11:55:58 +09:00
bin1874 f661b956ba feat: add before-you-build plugin 2026-06-12 19:28:44 +08:00
Seth Hobson 767d969a73 docs: sync plugin/agent/skill counts to 84/192/156 after social-publishing merge
PR #558 updated the headline totals but left trailing references at
83/191/155 across README, AGENTS.md, GEMINI.md, ARCHITECTURE.md, and
docs/*. Sync them all to the true counts (82 local + 2 external = 84
plugins, 192 agents, 156 skills).

Also runs make generate-all to bring the committed harness registries in
sync — adds the social-publishing entries to .agents/ and .cursor-plugin/
(which the original PR could not regenerate) and fixes the stale count in
the generated cursor manifests.

Left round-trip-results.md (point-in-time CLI verification results) and
plugin-eval.md (grade threshold) unchanged.
2026-06-02 19:15:30 -04:00
Seth Hobson d31e8b8fea fix: address PR review + upgrade ruff/ty so CI matches local
Review feedback:
- codex.py: Codex marketplace entries now conform to the openai/codex
  core-plugins schema — source {source: "local", path}, policy
  {installation, authentication}, and category (was missing required
  fields; flagged P1). Top-level trimmed to {name, plugins}.
- codex.py: interface.shortDescription cuts on a word boundary + ellipsis
  instead of a mid-word [:120] slice in committed .codex-plugin manifests.
- cursor.py: top-level .cursor-plugin/plugin.json displayName is now the
  short "Claude Code Workflows" instead of the long marketplace description.

Tooling (local drives CI):
- Bump ruff 0.15.14 -> 0.15.15 and ty 0.0.39 -> 0.0.40 in plugin-eval's
  uv.lock so CI installs the same versions we run locally, and reformat the
  tools/ + plugin-eval sources to ruff 0.15.15 (fixes the failing
  ruff format --check; the lock-hash change also busts CI's stale cache).

make validate STRICT=1 clean / garden 0 errors / 442 tests pass; regeneration
remains drift-free.
2026-05-29 13:18:48 -04:00
Seth Hobson 608c3840ca feat: native plugin-install for Codex/Cursor/Gemini + CLAUDE.md→AGENTS.md symlink
Add lean, native plugin-install entry points so each harness's own plugin
manager can install this marketplace (mirroring obra/superpowers) — committing
only small JSON registries, not duplicated skill/agent content trees.

- Codex: committed marketplace registry (.agents/plugins/marketplace.json) +
  per-plugin manifests (plugins/*/.codex-plugin/plugin.json). Entries point at
  source ./plugins/<name>; Codex reads SKILL.md directly. Transformed
  .codex/skills|agents stay gitignored.
- Cursor: commit the existing .cursor-plugin/ marketplace + .cursor/rules/
  (these already point at source plugins/).
- Gemini: gemini-extension.json already committed (contextFileName: AGENTS.md);
  transformed trees stay gitignored (install via clone + make generate).
- OpenCode: unchanged — install via `make install-opencode` (transformed tree
  stays gitignored).
- CLAUDE.md is now a symlink to AGENTS.md; Claude-Code addenda moved to
  docs/harnesses.md.
- CI: new step fails if `make generate-all` drifts from the committed registries.

Net new committed: ~720 KB of manifests (no skill/agent duplication). Adds
round-trip tests for the new registries + the symlink. Docs updated across
README, docs/harnesses.md, ARCHITECTURE.md, CONTRIBUTING.md, GEMINI.md,
docs/authoring.md, and the PR template.
2026-05-29 13:02:40 -04:00