[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DHFSFDGC7GQZBPCYACHCCA":3,"skill-same:01M6DHFSFDGC7GQZBPCYACHCCA":90},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":44,"commitSha":45,"skillDirectory":46,"forksCount":47,"repositoryHtmlUrl":48,"repositoryHomepageUrl":6,"ownerHtmlUrl":49,"ownerBlogUrl":50,"ownerDescription":6,"updatedAt":51,"install":52,"resources":65},"01M6DHFSFDGC7GQZBPCYACHCCA","session-trace",null,"Read what a past session actually did from the Arize Phoenix span store -- assemble a readable markdown transcript with step durations, token usage and cost, answer \"how did this decision get made\", or query spans for tool calls, errors, latencies, token spend and subagent dispatches. Use when asked how or why an agent decided something, what a session or worker really ran, where time or tokens went, or to resolve values a local transcript truncated. Not for live tails, or for launching and driving a run.","nicsuzor\u002FacademicOps","nicsuzor","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F4496978?v=4","01M6DGWCFNDYP03M4DQAHA6DN1","Nicolas Suzor","01M6DGWCPXG37BMXRZZKXR0A1Z",5,"MIT","https:\u002F\u002Fgithub.com\u002Fnicsuzor\u002FacademicOps\u002Fblob\u002Fmain\u002Fida-openclaw\u002Fskills\u002Fsession-trace\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"session trace","trace","session","store","errors","calls","answer","for","usage","transcript","subagent","query","use","worker","local","decision","tool","tokens","time","get","2026-11-10 10:12:30",false,"---\nname: session-trace\ndescription: Read what a past session actually did from the Arize Phoenix span store -- assemble a readable markdown transcript with step durations, token usage and cost, answer \"how did this decision get made\", or query spans for tool calls, errors, latencies, token spend and subagent dispatches. Use when asked how or why an agent decided something, what a session or worker really ran, where time or tokens went, or to resolve values a local transcript truncated. Not for live tails, or for launching and driving a run.\n---\n\n# Session Trace\n\nPhoenix keeps every span whole: untruncated tool inputs and outputs, model output, token\ncounts and millisecond latencies. Read it rather than a session's own account of itself.\n\n## Transcript: how did this decision get made\n\n```bash\nuv run python \"${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fphoenix_transcript.py\" \u003Csession-id \u002F conversation-id | slug | trace-id> --out \u003Cdir>\u002F\u003Cslug>.transcript.md [--sanitize-paths]\n```\n\n- Configuration is flags or environment: `--base-url` or `$PHOENIX_MCP_URL` (the Phoenix\n  HTTP root), and `--project` or `$PHOENIX_MCP_PROJECT`. Phoenix UI deep-links resolve via\n  `--ui-base-url` or `$PHOENIX_UI_URL` (default derived from the Phoenix endpoint). With neither\n  flag nor variable set, the script supplies no default value and halts. Spans already fetched another\n  way render with `--from-file spans.json`.\n- One paged fetch on `session.id`; a thousand-span session takes seconds.\n- It writes two files and prints the summary (totals, per-turn table, cost by model,\n  slowest steps, errors):\n  - `\u003Cslug>.transcript.md` -- the full record: one `## Turn N` per turn, one `### N.M`\n    per model or tool call with its duration, tokens and cost, payloads folded in\n    `\u003Cdetails>`, nothing truncated. Every turn links directly to its Phoenix session and span(s).\n  - `\u003Cslug>.outline.md` -- prompts, model calls with their text, and replies; each tool\n    call is one bullet under the model call that made it, labelled with the call's own\n    action summary (agy `toolAction` \u002F `toolSummary`, Claude Code `description`), with a line beneath\n    naming what it acted on: the calls and literal arguments inside a code-mode block,\n    else the command, path or query. Every turn links directly to its Phoenix session and span(s).\n\n## Deliverable and durable storage\n\nWhen session transcripts are requested, the primary output is the two generated files\n(`\u003Cslug>.transcript.md` full and `\u003Cslug>.outline.md` condensed). Both files must be saved\nto a durable destination (such as the PKB or a committed repository artifact), never left\nonly on the local filesystem of an ephemeral container where files vanish on exit.\n\n- **Persisting to the PKB**: Create durable notes (e.g. via `pkb_create` with `type: \"note\"`,\n  tags `[\"session-trace\", \"transcript\"]` or `[\"session-trace\", \"outline\"]`, linking to the\n  relevant task or session). Pass `--sanitize-paths` to `phoenix_transcript.py` (or sanitize\n  literal host filesystem paths like `\u002Fhome\u002F*` or `\u002FUsers\u002F*`) so that PKB host-path rejection\n  guards are not triggered during ingestion.\n- **Persisting to a repository**: Save the files under the designated project\u002Fevaluation path\n  and commit them to the branch or PR.\n\nRead the summary, then the outline for the turns that bear on the question. Open a step's\npayload by its anchor (`grep -n 'id=\"t5-3\"' \u003Cslug>.transcript.md`) rather than reading the\nwhole transcript, because that is where the cost goes. Answer with the turn and step\nanchors where the decision was made, and provide the durable pointer (or path) to the\npersisted transcript and outline files.\n\nTo find the session: a full session ID \u002F conversation ID, a slug, or a trace id all resolve. Given only a task or a\ntime, find the session with Recipe A or F in [references\u002Fsql-recipes.md](references\u002Fsql-recipes.md).\n\n## Other exports\n\n- `uv run python scripts\u002Fphoenix_trace.py \u003Csession-id \u002F conversation-id>` -- the span forest as JSON (`full`, with\n  `roots` and `orphans`) and a controller view. Check `meta.session_error_count`,\n  `orphans`, `meta.trace_contamination` (traces shared with other sessions), and rank\n  `subagents[]` by `collapsed_span_count` for the expensive branches.\n- `uv run python \"${CLAUDE_SKILL_DIR:-plugins\u002Fida\u002Fskills\u002Fsession-trace}\u002Fscripts\u002Fphoenix_token_cost.py\" --since \u003Ctime>` -- spend ranked across sessions, or\n  `--by task`. Prices are list prices per million tokens; the dollar column is\n  comparable spend, not an invoice. Gemini spans may carry no token counts.\n\n## Cross-session search\n\nWith no session id in hand (\"every prompt mentioning X\"), follow \"Cross-session search\" in\n[references\u002Fsql-recipes.md](references\u002Fsql-recipes.md): filter and project on the server, write\nrows to a file in session scratch, print counts and ids only, and read the file by anchor.\nNever let search results accumulate in your context.\n\n## Ad-hoc queries\n\nThe span store is also reachable through the `services` MCP proxy:\n`portal_codemode_execute` calling `codemode.phoenix_execute` with an async Python block\nthat runs `await call_tool(\"executeSql\", {\"sql\": ...})` (several per block is fine). Read\n[references\u002Fspan-store.md](references\u002Fspan-store.md) before writing a query, then take\nthe recipe from [references\u002Fsql-recipes.md](references\u002Fsql-recipes.md).\n\n## Constraints\n\n- Filter on `session.id`, never `trace_id`: one trace can hold several sessions across agent interactions.\n- Subagent session identity varies by harness:\n  - In `claude` (Claude Code), in-process subagents \u002F teammates may share the dispatching session's\n    `session.id`, whereas background or detached workers run in their own sessions.\n  - In `agy` (Antigravity), `invoke_subagent` spawns each subagent with its own distinct `session.id`\n    (`conversationId` in the `invoke_subagent` response, matching `sender=\u003Cuuid>` on inbound messages).\n  - When a subagent runs under its own distinct `session.id`, the child session carries no explicit parent\n    attribute in its span metadata; correlate them using Recipe F (matching prompt text, time window, and agent type).\n- Phoenix tool spans prove execution rather than logical entailment or sufficiency; auditing and QA must inspect durable primary deliverables rather than ephemeral container paths, evaluating whether observed evidence logically entails the claimed outcomes.\n- Do not compute turns or durations in ad-hoc SQL: spans store no turn entity. Find candidate session IDs with Recipe A, then run `phoenix_transcript.py`.\n","# Session Trace\n\nPhoenix keeps every span whole: untruncated tool inputs and outputs, model output, token\ncounts and millisecond latencies. Read it rather than a session's own account of itself.\n\n## Transcript: how did this decision get made\n\n```bash\nuv run python \"${CLAUDE_SKILL_DIR}\u002Fscripts\u002Fphoenix_transcript.py\" \u003Csession-id \u002F conversation-id | slug | trace-id> --out \u003Cdir>\u002F\u003Cslug>.transcript.md [--sanitize-paths]\n```\n\n- Configuration is flags or environment: `--base-url` or `$PHOENIX_MCP_URL` (the Phoenix\n  HTTP root), and `--project` or `$PHOENIX_MCP_PROJECT`. Phoenix UI deep-links resolve via\n  `--ui-base-url` or `$PHOENIX_UI_URL` (default derived from the Phoenix endpoint). With neither\n  flag nor variable set, the script supplies no default value and halts. Spans already fetched another\n  way render with `--from-file spans.json`.\n- One paged fetch on `session.id`; a thousand-span session takes seconds.\n- It writes two files and prints the summary (totals, per-turn table, cost by model,\n  slowest steps, errors):\n  - `\u003Cslug>.transcript.md` -- the full record: one `## Turn N` per turn, one `### N.M`\n    per model or tool call with its duration, tokens and cost, payloads folded in\n    `\u003Cdetails>`, nothing truncated. Every turn links directly to its Phoenix session and span(s).\n  - `\u003Cslug>.outline.md` -- prompts, model calls with their text, and replies; each tool\n    call is one bullet under the model call that made it, labelled with the call's own\n    action summary (agy `toolAction` \u002F `toolSummary`, Claude Code `description`), with a line beneath\n    naming what it acted on: the calls and literal arguments inside a code-mode block,\n    else the command, path or query. Every turn links directly to its Phoenix session and span(s).\n\n## Deliverable and durable storage\n\nWhen session transcripts are requested, the primary output is the two generated files\n(`\u003Cslug>.transcript.md` full and `\u003Cslug>.outline.md` condensed). Both files must be saved\nto a durable destination (such as the PKB or a committed repository artifact), never left\nonly on the local filesystem of an ephemeral container where files vanish on exit.\n\n- **Persisting to the PKB**: Create durable notes (e.g. via `pkb_create` with `type: \"note\"`,\n  tags `[\"session-trace\", \"transcript\"]` or `[\"session-trace\", \"outline\"]`, linking to the\n  relevant task or session). Pass `--sanitize-paths` to `phoenix_transcript.py` (or sanitize\n  literal host filesystem paths like `\u002Fhome\u002F*` or `\u002FUsers\u002F*`) so that PKB host-path rejection\n  guards are not triggered during ingestion.\n- **Persisting to a repository**: Save the files under the designated project\u002Fevaluation path\n  and commit them to the branch or PR.\n\nRead the summary, then the outline for the turns that bear on the question. Open a step's\npayload by its anchor (`grep -n 'id=\"t5-3\"' \u003Cslug>.transcript.md`) rather than reading the\nwhole transcript, because that is where the cost goes. Answer with the turn and step\nanchors where the decision was made, and provide the durable pointer (or path) to the\npersisted transcript and outline files.\n\nTo find the session: a full session ID \u002F conversation ID, a slug, or a trace id all resolve. Given only a task or a\ntime, find the session with Recipe A or F in [references\u002Fsql-recipes.md](references\u002Fsql-recipes.md).\n\n## Other exports\n\n- `uv run python scripts\u002Fphoenix_trace.py \u003Csession-id \u002F conversation-id>` -- the span forest as JSON (`full`, with\n  `roots` and `orphans`) and a controller view. Check `meta.session_error_count`,\n  `orphans`, `meta.trace_contamination` (traces shared with other sessions), and rank\n  `subagents[]` by `collapsed_span_count` for the expensive branches.\n- `uv run python \"${CLAUDE_SKILL_DIR:-plugins\u002Fida\u002Fskills\u002Fsession-trace}\u002Fscripts\u002Fphoenix_token_cost.py\" --since \u003Ctime>` -- spend ranked across sessions, or\n  `--by task`. Prices are list prices per million tokens; the dollar column is\n  comparable spend, not an invoice. Gemini spans may carry no token counts.\n\n## Cross-session search\n\nWith no session id in hand (\"every prompt mentioning X\"), follow \"Cross-session search\" in\n[references\u002Fsql-recipes.md](references\u002Fsql-recipes.md): filter and project on the server, write\nrows to a file in session scratch, print counts and ids only, and read the file by anchor.\nNever let search results accumulate in your context.\n\n## Ad-hoc queries\n\nThe span store is also reachable through the `services` MCP proxy:\n`portal_codemode_execute` calling `codemode.phoenix_execute` with an async Python block\nthat runs `await call_tool(\"executeSql\", {\"sql\": ...})` (several per block is fine). Read\n[references\u002Fspan-store.md](references\u002Fspan-store.md) before writing a query, then take\nthe recipe from [references\u002Fsql-recipes.md](references\u002Fsql-recipes.md).\n\n## Constraints\n\n- Filter on `session.id`, never `trace_id`: one trace can hold several sessions across agent interactions.\n- Subagent session identity varies by harness:\n  - In `claude` (Claude Code), in-process subagents \u002F teammates may share the dispatching session's\n    `session.id`, whereas background or detached workers run in their own sessions.\n  - In `agy` (Antigravity), `invoke_subagent` spawns each subagent with its own distinct `session.id`\n    (`conversationId` in the `invoke_subagent` response, matching `sender=\u003Cuuid>` on inbound messages).\n  - When a subagent runs under its own distinct `session.id`, the child session carries no explicit parent\n    attribute in its span metadata; correlate them using Recipe F (matching prompt text, time window, and agent type).\n- Phoenix tool spans prove execution rather than logical entailment or sufficiency; auditing and QA must inspect durable primary deliverables rather than ephemeral container paths, evaluating whether observed evidence logically entails the claimed outcomes.\n- Do not compute turns or durations in ad-hoc SQL: spans store no turn entity. Find candidate session IDs with Recipe A, then run `phoenix_transcript.py`.\n",{"name":5,"description":7},"main","72813be66bbb181f3268196718cd452300e93a1a","ida-openclaw\u002Fskills\u002Fsession-trace",3,"https:\u002F\u002Fgithub.com\u002Fnicsuzor\u002FacademicOps","https:\u002F\u002Fgithub.com\u002Fnicsuzor","https:\u002F\u002Fnic.suzor.net\u002F","2026-11-10 16:57:47",{"source":8,"skillName":5,"commands":53,"prompt":63,"zipAvailable":64},[54,57,60],{"tool":55,"command":56},"npx","npx skills add nicsuzor\u002FacademicOps --skill session-trace",{"tool":58,"command":59},"bunx","bunx skills add nicsuzor\u002FacademicOps --skill session-trace",{"tool":61,"command":62},"pnpm","pnpm dlx skills add nicsuzor\u002FacademicOps --skill session-trace","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fnicsuzor\u002FacademicOps\u002Fblob\u002Fmain\u002Fida-openclaw\u002Fskills\u002Fsession-trace\u002FSKILL.md",true,[66,72,76,82,86],{"path":67,"resourceType":68,"resourceTypeDesc":69,"sizeBytes":70,"sourceHtmlUrl":71},"references\u002Fspan-store.md","REFERENCE","参考文档",3507,"https:\u002F\u002Fgithub.com\u002Fnicsuzor\u002FacademicOps\u002Fblob\u002Fmain\u002Fida-openclaw\u002Fskills\u002Fsession-trace\u002Freferences\u002Fspan-store.md",{"path":73,"resourceType":68,"resourceTypeDesc":69,"sizeBytes":74,"sourceHtmlUrl":75},"references\u002Fsql-recipes.md",11495,"https:\u002F\u002Fgithub.com\u002Fnicsuzor\u002FacademicOps\u002Fblob\u002Fmain\u002Fida-openclaw\u002Fskills\u002Fsession-trace\u002Freferences\u002Fsql-recipes.md",{"path":77,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":80,"sourceHtmlUrl":81},"scripts\u002Fphoenix_token_cost.py","SCRIPT","脚本",32127,"https:\u002F\u002Fgithub.com\u002Fnicsuzor\u002FacademicOps\u002Fblob\u002Fmain\u002Fida-openclaw\u002Fskills\u002Fsession-trace\u002Fscripts\u002Fphoenix_token_cost.py",{"path":83,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":84,"sourceHtmlUrl":85},"scripts\u002Fphoenix_trace.py",46878,"https:\u002F\u002Fgithub.com\u002Fnicsuzor\u002FacademicOps\u002Fblob\u002Fmain\u002Fida-openclaw\u002Fskills\u002Fsession-trace\u002Fscripts\u002Fphoenix_trace.py",{"path":87,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":88,"sourceHtmlUrl":89},"scripts\u002Fphoenix_transcript.py",50575,"https:\u002F\u002Fgithub.com\u002Fnicsuzor\u002FacademicOps\u002Fblob\u002Fmain\u002Fida-openclaw\u002Fskills\u002Fsession-trace\u002Fscripts\u002Fphoenix_transcript.py",[91,115,120,125,130,154],{"skillNo":92,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":97,"publishedAt":39},"01M6M6JR6VXPDA3MDPVS36DSSP","refresh-questions","Sweep and refresh open questions in the Telegram Mini App by closing questions that are answered elsewhere, superseded, or asking for completed actions, and ensuring active open questions carry recommendations and context. Use when asked to refresh questions, sweep stale questions, or keep the Mini App decision queue current. Exclude for asking new questions or routine chat replies.","https:\u002F\u002Fgithub.com\u002Fnicsuzor\u002FacademicOps\u002Fblob\u002Fmain\u002Fopenclaw\u002Fida-telegram\u002Fskills\u002Frefresh-questions\u002FSKILL.md",[],[98,99,100,101,102,103,34,104,31,105,106,107,108,109,110,111,112,113,114,26],"refresh","refresh questions","questions","actions","telegram mini app","open","context","queue","telegram","stale","chat","active","recommendations","app","keep","replies","closing",{"skillNo":116,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":117,"categories":118,"keywords":119,"publishedAt":39},"01M6M6JGW7Q0SC5B28TQ7PKE8E","https:\u002F\u002Fgithub.com\u002Fnicsuzor\u002FacademicOps\u002Fblob\u002Fmain\u002Fida-telegram-openclaw\u002Fskills\u002Frefresh-questions\u002FSKILL.md",[],[98,99,100,101,102,103,34,104,31,105,106,107,108,109,110,111,112,113,114,26],{"skillNo":121,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":124,"publishedAt":39},"01M6M6J7D0ZTQ4VSS5ADRSA12E","https:\u002F\u002Fgithub.com\u002Fnicsuzor\u002FacademicOps\u002Fblob\u002Fmain\u002Fida-telegram-claude\u002Fskills\u002Frefresh-questions\u002FSKILL.md",[],[98,99,100,101,102,103,34,104,31,105,106,107,108,109,110,111,112,113,114,26],{"skillNo":126,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":127,"categories":128,"keywords":129,"publishedAt":39},"01M6M6EP6BK1DDN2212S7Y95G0","https:\u002F\u002Fgithub.com\u002Fnicsuzor\u002FacademicOps\u002Fblob\u002Fmain\u002Fcowork\u002Fida-telegram\u002Fskills\u002Frefresh-questions\u002FSKILL.md",[],[98,99,100,101,102,103,34,104,31,105,106,107,108,109,110,111,112,113,114,26],{"skillNo":131,"name":132,"nameZh":6,"description":133,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":134,"categories":135,"keywords":136,"publishedAt":39},"01M6G9Q8538NENA2TE2V4HPRSF","dispatch-queue","Show the user the tasks ready to dispatch, ranked with a recommendation on each, and start workers on the ones the user approves -- redirects to universal workflow template wf-dispatch-queue. Use for \"what's ready\", \"what should we dispatch\", or \"dispatch the queue\". Exclude for starting workers on named tasks without the user's choice (use dispatch) or graph truth maintenance (use reconcile).","https:\u002F\u002Fgithub.com\u002Fnicsuzor\u002FacademicOps\u002Fblob\u002Fmain\u002Fopenclaw\u002Fida\u002Fskills\u002Fdispatch-queue\u002FSKILL.md",[],[137,105,138,139,140,141,142,143,144,145,31,146,147,148,149,150,151,152,153],"dispatch","dispatch queue","workflow","tasks","graph","start","template","choice","user","reconcile","ready","maintenance","workers","show","wf","recommendation","with",{"skillNo":155,"name":132,"nameZh":6,"description":133,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":156,"categories":157,"keywords":158,"publishedAt":39},"01M6G9P9M3PQXPX3647RA5E4D0","https:\u002F\u002Fgithub.com\u002Fnicsuzor\u002FacademicOps\u002Fblob\u002Fmain\u002Fida-openclaw\u002Fskills\u002Fdispatch-queue\u002FSKILL.md",[],[137,105,138,139,140,141,142,143,144,145,31,146,147,148,149,150,151,152,153]]