复制安装命令
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
AgentOps is the operations layer for agentic engineering.
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
来源文件:README.md
AgentOps is the operations layer for agentic engineering.
AgentOps connects intent, coding agents, software factories, context sources, and independent judgment through portable skills and evidence contracts without replacing the systems that own work, execution, or delivery.
The architecture is a federated integration graph: your tracker keeps the work, Git keeps the history, your coding agents and factories run the execution, deterministic checks prove facts, and a fresh validator judges meaning. AgentOps supplies the semantic work-and-proof protocol that joins those nodes — exact intent, exact subject, evidence, fresh judgment, honest outcomes. The standard traversal through the graph is RPI, one experiment at a time:
RPI -> Plan -> Implement -> fresh Validate -> report and stop
For contested calls, opt into council
(independent judges) or idea-genie duel mode
(sealed perspectives before Plan).
npx skills@latest add boshu2/agentops --all -g
One command installs the skill bundle into every coding agent you use. The
skills run inside your coding agent (Claude Code, Codex, Cursor, …): type
/rpi in that agent's chat, or ask for plan, implement, validate, and
learn by name. No other runtime is required.
Prefer a managed bundle that updates with the release:
# Claude Code
claude plugin marketplace add boshu2/agentops
claude plugin install agentops@agentops-marketplace
# Codex
codex plugin marketplace add boshu2/agentops
codex plugin add agentops@agentops-marketplace
Three install paths:
ao skills link: source-tracked symlinks for contributors
(see Install and day-2 operations).AgentOps ships a PreToolUse policy dispatcher: deterministic guards that block a small set of known-destructive commands (staging the private bead ledger, hand-editing the hash-chained provenance ledger, overwriting installed skill copies) and route you to the correct tool instead. Silent on every clean call; every block is one line.
~/.claude/skills/cc-hooks/scripts/install-hooks.sh once.scripts/install-policy-dispatch.sh once.Disable anytime (/plugin disable agentops, or remove the two PreToolUse
matchers from settings). Policy list and design:
skills/cc-hooks/SKILL.md.
Remove with your runtime's plugin uninstall, or delete the linked skill directories.
Beads is the preferred tracker
(optional; brew install beads). Plan
writes BDD acceptance and DDD ubiquitous
language into the bead;
Implement builds against it; Validate judges a hashed snapshot under
.agents/ao/intents/sha256/. No beads? Plan shapes the caller's issue or chat
text and the runtime snapshots those bytes the same way.
validate must run in a fresh context (not the author session). It can use
the same model as the author or a different one.
The default is one agent, one writer. When you need a fleet,
swarm, agent-native,
ntm, and using-gc
orchestrate multi-agent work. They dispatch; they do not own the verdict.
AgentOps supplies skills and evidence contracts, not another software-factory
runtime or a competing Gas City pack. Install the skills in the agent runtime
used by the factory you choose; its Mayor, coordinator, and workers can then use
plan, implement, test, validate, and the rest of the catalog.
Two factory stacks are supported:
gascity build pack,
the workflow family used by Maintainer City. It owns formulas, roles,
worktrees, dispatch, draining, and run state. The
using-gc skill covers installation, launch,
observation, and recovery.using-flywheel skill covers
provisioning, skill visibility, and the evidence boundary.AgentOps does not wrap either factory or translate factory completion into
semantic PASS. When proof is required, a fresh validate context judges the
exact candidate and evidence.
ao CLIDeterministic checks, inspection, and skill linking. Skip it if you only need the skills.
brew tap boshu2/agentops https://github.com/boshu2/homebrew-agentops
brew install agentops
Without Homebrew: go install github.com/boshu2/agentops/cli/cmd/ao@latest
To track skills from a local checkout instead of a release bundle, run
ao skills link from that checkout.
Same session that wrote the code also declared victory. AgentOps separates
authorship from judgment: implement produces a candidate; validate must
run in a fresh context and may use a different model. It issues PASS,
FAIL, or NOT_PROVEN.
A single context can share blind spots with the author. Opt into
idea-genie or council
for sealed or multi-judge review. They return a report; an author-distinct
validate context issues the binding result.
Without a fixed behavior and write scope, "done" is whatever the agent
improvised. plan locks acceptance in the bead before anyone builds. Later
phases bind to that digest.
Chat scrolls away. When replay or automation needs durable evidence, validate
writes a content-addressed verdict.v2 under
.agents/ao/verdicts/sha256/ with checked scope, omissions, and evidence refs.
Plain JSON. No hosted service required. Interactive validation does not create
one unless requested.
| Skill | Job |
|---|---|
rpi | run Plan, Implement, and fresh Validate at most once |
plan | create the bead (BDD + DDD ubiquitous language) |
implement | TDD against the bead: RED → GREEN → refactor |
validate | fresh context (optionally different model); optionally persist verdict.v2 |
Optional later: learn. Strategies:
council, idea-genie,
premortem, postmortem.
AgentOps prefers a smaller skill set you can steer over dozens of near-duplicate skills. Modes and flags change behavior inside one contract.
| Skill | Steer with | Examples |
|---|---|---|
doc | --mode | readme, oss, default API/docs; README mode runs a docs-prose (de-slop) pass |
codebase-recon | mode · view · lens · depth | baseline/delta; emphasize audit or mental model; one domain lens per pass |
idea-genie | elicit | duel | portfolio vs sealed multi-perspective challenge |
rpi | bead / intent ref | one full traversal against a frozen bead |
Read the skill's mode table before inventing a sibling skill. Full inventory: Skill Router.
A PASS binds unchanged acceptance, a deterministic subject manifest, complete
changed-path coverage inside write scope, distinct author and validator context
IDs, a freshness attestation, and criterion-level evidence.
Missing identity, mutation, or incomplete coverage → NOT_PROVEN. Proven
out-of-scope change or failed criterion → FAIL.
RPI traversal · CLI · Docs
Contributing: docs/CONTRIBUTING.md. License: Apache-2.0.
name: ms
description: 'meta_skill (ms) — the skill-search/load engine over both corpora (agentops + jsm). Find a skill for a task, search skills, or load runnable skill guidance. Triggers: "ms", "meta_skill", "skill search", "find a skill for", "load skill guidance".'
practices:
- pragmatic-programmer
skill_api_version: 1
user-invocable: false
hexagonal_role: supporting
consumes: []
produces: []
context_rel: []
metadata:
dependencies: []
capabilities: [ms]
effects: [spawn_search_server, write_feedback_outcomes, rebuild_search_index]
canonical_status: canonical
disposition: keep_specialist
tier: execution
external_dependencies:
- "ms binary (Jeffrey Emanuel's meta_skill). The 0.1.2 release binary corrupts IDs on Anthropic-frontmatter skills, so it must be built from a source checkout carrying the frontmatter-id fix; this operator builds from ~/dev/meta_skill, branch local/frontmatter-id."
- jq (required for parsing -O json output)
- python3 (required by the disposable MCP search helper)
output_contract: search and load results plus source identity on stdout; the local index is disposable state, never a source of truthCore Insight:
msis the skill-search engine over both configured corpora (agentops + jsm). Consume via MCP, write/admin via CLI. One law: after ANY reindex/wipe, every runningms mcp serveMUST be killed (sessions respawn fresh). A surviving server silently reads pre-wipe data and returnsrecorded:trueon writes that land in orphaned files.
full: true or --full when the intent is to execute a skill, because metadata cards and packed overviews omit runnable guidance.mcp__ms__* tools are unavailable, use the skill-local one-shot MCP helper for search. A zero-result ms search CLI response is not evidence that MCP BM25 found no match and must not silently substitute for it.scripts/ms-reindex.sh, because it sweeps stale servers and proves source equivalence after rebuilding the index.skills/**.ms retrieval-only for production skill work. It returns search and load
results; the caller owns authoring, validation, and every subsequent decision.Find a skill (MCP-primary — BM25, currently strictly better than CLI search), then load the FULL runnable SKILL.md in one call (always full: true when you mean to use it):
mcp__ms__search {query: "handle a rate limit switching accounts"}
mcp__ms__load {skill: "account-rotation", full: true}
No attached MCP tool: start one disposable stdio server, return only the structured search JSON, and reap it on success, error, or timeout:
python3 skills/ms/scripts/mcp-search.py "switch accounts on rate limit"
ms load account-rotation --full -O json | jq -r '.data.content'
State root: ~/Library/Application Support/ms/.
mcp__ms__*)Prefer the MCP tools whenever a ms mcp serve is attached — they are the fast, verified read path.
| Tool | Use |
|---|---|
mcp__ms__search {query} | BM25 search. Currently strictly better than CLI search (see Footguns — CLI hybrid is BM25-only; ms never stores doc embeddings). |
mcp__ms__load {skill, full: true} | Returns the full runnable SKILL.md in ONE call, zero extraction friction. full: false returns a useless metadata card — always full: true when you intend to use the skill. |
mcp__ms__show {skill} | Metadata card for a skill. |
mcp__ms__suggest {cwd} | Suggests skills for a directory. Works — but ignore its project-language detection (misdetects Makefile repos as C; cosmetic only). |
No attached MCP tool: use the server-backed one-shot helper so retrieval still follows the MCP BM25 path:
python3 skills/ms/scripts/mcp-search.py "<query>"
The helper writes a clean search object (query, count, results) to stdout, reports transport/protocol errors on stderr, applies a 30-second timeout by default, and owns the disposable server process group through termination and reap. Override its executable with MS_BIN and its timeout with MS_MCP_SEARCH_TIMEOUT or --timeout.
The CLI remains the supported full-load fallback after search:
ms load <id> --full -O json | jq -r '.data.content' # content lives in .data.content
Do not replace the helper with ms search. The CLI path is useful only for diagnostics while its retrieval parity gap remains; in particular, zero CLI results do not prove the corpus has no matching skill.
The MCP feedback tool exists, but only the CLI write path is verified to land — trust the CLI for writes.
ms feedback add <skill> --positive --comment "..." # feedback on a skill
ms feedback add <skill> --negative --comment "..."
ms outcome <skill> --success # record only AFTER downstream factory use + validation
ms outcome <skill> --failure
ms doctor # admin: health
scripts/ms-reindex.sh # (re)index THE way: rebuild + sweep + probe + source-equivalence check
scripts/ms-reindex.sh --check-source # read-only freshness proof against current skills/** source
# Optional operator policy only; rebuild completeness is derived from live
# discovered/indexed/errors accounting, not a historical absolute count:
MS_REINDEX_MIN_INDEXED=100 scripts/ms-reindex.sh
ms list -O jsonl --limit 1000 # counting / enumeration
ms config # resolved config + skill_paths
stdout; durable index state remains under ~/Library/Application Support/ms/..data.content for ms load --full -O json.skills/ms/scripts/validate.sh for the retrieval boundary and scripts/ms-reindex.sh --check-source for normalized source equivalence.Production-intent handoff: When the query concerns creating or editing a skill, ms retrieves relevant guidance and stops. The caller may separately invoke skill-builder (create, heal, or audit mode) or another authoring tool.
Authority boundary: skills/** is canonical source; the generator owns the ms Codex twin and other projections. Never edit the index, loaded copies, or generated projections as source.
ms never validates or interprets downstream work. A failed search,
load, write, or reindex is returned as evidence and ends this invocation.
Outcome timing: Record ms outcome only after the caller has independent evidence about downstream usefulness, never after retrieval alone. That observation does not change core state.
| Footgun | Truth |
|---|---|
| MCP server survives a DB wipe/reindex | An ms mcp serve NEVER reopens handles — it follows renamed inodes into the backup, giving stale reads AND silent misdirected writes (recorded:true into orphaned files). Reindex via scripts/ms-reindex.sh — THE way to reindex (rebuilds, proves every live-discovered skill was indexed or reported as an allowed error, TERMs every server, probes a fresh server, then compares normalized local loads with current skills/** source); never run bare ms index and leave servers up. Sessions respawn fresh. |
ms load --pack N | Trap: caps at the gutted overview tier for ANY N (800 == 20000) — drops the executable steps and returns LESS than the no-flag default. Use --full (CLI) or full: true (MCP). |
-O plain | Prints name-only on load; truncates list output ([N more lines]). The content lives in -O json → .data.content. |
CLI ms search "hybrid" | Effectively BM25-only — ms never stores doc embeddings (upsert_embedding is called only from a unit test), so hybrid ≡ BM25 under ANY backend; no config/backend change fixes it (upstream gap, feature-noted; measured 2026-07-02, age-s3jf). It can return zero while MCP BM25 returns ranked matches. Without attached tools, use scripts/mcp-search.py; never treat zero CLI results as a successful MCP fallback. |
Stale ms.lock | ms doctor prints "Lock held" for a DEAD pid yet still says all-pass. A dead-pid lock is safe to delete. |
| Symlinks | ms does NOT follow directory symlinks — skill_paths must list BOTH roots explicitly: the ~/.claude skills dir AND the ~/dev/agentops/skills repo dir. |
| Binary | Source build only (~/dev/meta_skill, branch local/frontmatter-id); the 0.1.2 release binary corrupts IDs on Anthropic-frontmatter skills. Update: git fetch && git rebase origin/main && cargo install --path . --locked. |
Parallel CLI + MCP load measured clean — no lock errors. The lock hazard is the survive-a-wipe case above (kill the serve), not concurrent reads.
Scenario: Load a skill's full runnable guidance
Given an ms mcp serve is attached
When I call mcp__ms__load {skill: "account-rotation", full: true}
Then the full runnable SKILL.md content is returned in one call
Scenario: Search without an attached MCP tool
Given mcp__ms__search is unavailable
When I run python3 skills/ms/scripts/mcp-search.py with the query
Then it returns only structured MCP search JSON
And its disposable ms mcp serve process is reaped on success, error, or timeout
Scenario: Reindex invalidates every running server
Given one or more ms mcp serve processes are running
When I run ms index (or wipe/rebuild the DB)
Then I kill every ms mcp serve so sessions respawn against fresh data
And a surviving server would silently read pre-wipe data and mis-land writes
Scenario: A stale local projection fails closed
Given AgentOps skills are authoritative and ms is a disposable local index
When a full ms load has a different normalized name or description from source
Then scripts/ms-reindex.sh exits nonzero and names the stale skill
ms after retrieval; generated twins and loaded/indexed copies are never hand-edited as source.ms outcome records observed usefulness only after independent downstream evidence.meta_skill (source at ~/dev/meta_skill, branch local/frontmatter-id).cass (session archaeology). The jsm cass-memory (cm) procedural-memory tool is the write-side complement (installed separately, not in this repo).scripts/validate.sh.
评论 (0)
暂无评论,成为第一个评论者吧!