Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add jpicklyk/task-orchestrator --skill work-summarygit clone --depth 1 https://github.com/jpicklyk/task-orchestratorWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jpicklyk/task-orchestrator/work-summary)<a href="https://agentmods.dev/skills/jpicklyk/task-orchestrator/work-summary"><img src="https://agentmods.dev/badge/skills/jpicklyk/task-orchestrator/work-summary/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jpicklyk/task-orchestrator/work-summary"><img src="https://agentmods.dev/badge/skills/jpicklyk/task-orchestrator/work-summary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00110 | $0.04175 |
| Opus 5.5 | $0.00044 | $0.01670 |
| Sonnet 5.5 | $0.00022 | $0.00835 |
| Haiku 4.5 | $0.00011 | $0.00417 |
Grade A, and why
work-summary scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 18d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Work Summary — Current (v3)
Attention-first project dashboard. The default (lean) mode answers four questions — what's moving, what's stuck, what's next, what's queued — in a bounded view (~45 lines) regardless of workspace size. The exhaustive inventory is available as an explicit mode, not the default: mature workspaces accumulate hundreds of terminal items, and rendering them all buries the actionable content.
Supplement the data with brief observations only when there is a genuine anomaly or actionable insight.
Step 0 — Mode Selection
$ARGUMENTS |
Mode |
|---|---|
| empty | Lean (default) |
the literal word full |
Full Inventory |
the literal word all |
Multi-Project — one condensed section per known project root |
| anything else | Scoped — resolve to a UUID via query_items(operation="search", query=$ARGUMENTS, limit=5); prefer the best-matching root or container item; if ambiguous, present matches via AskUserQuestion |
Step 0.5 — Project Scope Resolution
Before running Lean, Full, or Multi-Project mode, resolve the scope:
- Check session context from the SessionStart hook. A
## Project Scopesection carries a project rootId, which scopes reads (ancestorId/anchorId) and anchors. A## Personal Scopesection carries a personal root, which only anchors new items: in personal scope every call below runs unscoped (whole database) and the header sayspersonal scope — whole database. - Otherwise, read
.taskorchestrator/config.yaml's top-levelproject.rootIdfield (a file read, not an MCP call). - If no rootId is found by either path, behavior is exactly as before this feature existed — every call below runs unscoped (whole-DB), and no
ancestorId/anchorIdparam is passed. This is the common case for single-project workspaces.
When a project rootId is known, Lean and Full mode calls pass it as ancestorId="<rootId>" — except the overview calls, which use anchorId="<rootId>" (all noted inline below). Scoped mode is unaffected — it already resolves its own scope UUID per invocation via FTS.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 18d ago Changed 21d585decc08
- 1mo ago First seen · 212 lines · 110 tokens per session scan A 7283ea62e808
work-summary is a skill published in the GitHub repository jpicklyk/task-orchestrator (209 stars, last pushed 2d ago), licensed MIT. It adds 110 tokens to every session and 4,175 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
branch-surgery-pr-split
Split oversized or mixed-concern branches into smaller, reviewable PR stacks with safety refs, topology selection, parity audits, and merge sequencing. Use when a PR or branch is too large, difficult to review, mixed across concerns, conflict-prone, or needs to be decomposed without losing net changes.
do-it
Turn the current discussion into a task step and implement it — adds step to task file, updates spec if needed, then implements with review-fix loop.
plan-tasks
Read an existing spec and propose a task breakdown — assesses separable work streams, proposes split, creates task files linked to the spec.
draft-issue
Draft a GitHub issue based on a discussion or requirements in the current conversation.
load-task
Load task context, show progress, and surface ambiguities and conflicts before implementation.
close-task
Close the task: update tracking and optionally its GitHub issue.