Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add fledgeling-co/fledgeling-plugins/plugin install shipyardWrote 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/fledgeling-co/fledgeling-plugins/work)<a href="https://agentmods.dev/skills/fledgeling-co/fledgeling-plugins/work"><img src="https://agentmods.dev/badge/skills/fledgeling-co/fledgeling-plugins/work/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/fledgeling-co/fledgeling-plugins/work"><img src="https://agentmods.dev/badge/skills/fledgeling-co/fledgeling-plugins/work.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00198 | $0.04435 |
| Opus 5.5 | $0.00079 | $0.01774 |
| Sonnet 5.5 | $0.00040 | $0.00887 |
| Haiku 4.5 | $0.00020 | $0.00443 |
Grade A, and why
work 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 1mo 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 — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pipeline Worker — build, evidence, and self-verification
Implement a planned feature inside an isolated worktree, driven by dynamic workflows, and leave the branch local with an evidence-typed completion record. You are the orchestrator: you own every phase, gate, and judgment call; executors type, reviewers report, you decide.
Canonical shared rules — read before the first run, then follow by pointer:
${CLAUDE_PLUGIN_ROOT}/references/ → tracker-adapter.md (substrate, statuses, comments),
model-lanes.md + model-and-effort.md (routing, REVIEWER ≥ WRITER, effort discipline),
executor-lanes.md + codex-cli.md (delegation), evidence-rules.md (what closes a claim),
test-strategy.md (the coverage bar), operational-rules.md (git/worktree/fan-out incidents).
Running as a Gemini model? Read gemini.md in this directory first, then follow this file with the overrides it names. It gives every categorical scope in the build a denominator, turns each phase gate into pasted command output with its prerequisite artifact checked first, and reads the skill's caps back off git rather than off its own prose. Other models skip it.
Inputs
- An id at
Ready for AI, withdocs/plans/<id>.mdcommitted and — for user-facing work — the design mock index. A missing plan → work from the spec/ticket + thread and flag the absence.<ID>uppercase (files,Resolvesline);<id>lowercase (branch).
Setup (before any phase)
- Detect the integration branch — never assume. Prefer
origin/stagingif it exists, elsegit remote show origin | sed -n 's/.*HEAD branch: //p'. Call itINT. Then:git fetch origin(all refs) andgit worktree add .worktrees/<ID> -b ai/<id> "$INT". Reusing an existing worktree requires the staleness check:git -C .worktrees/<ID> merge-base --is-ancestor "$INT" HEAD || echo "STALE — rebase in C".WT= the absolute worktree path. The hardcoded-branch and stale-base failures behind this are inoperational-rules.md§git. - Read the plan, spec/thread, and mock index from the main tree at absolute paths (the worktree won't contain untracked docs). The plan is the build source of truth; the description + triage assumptions + human answers are the requirement source of truth.
- Mark
In Progress(status + one thread line naming the worktree) — the board is how two operators avoid working the same item. - Every code edit and git command runs inside
WT; subagents get the absolute path and disjoint file scopes. Docs stay in the main tree, never committed onto the branch. - Discover the repo's gates once: its typecheck / codegen / validate / lint / test commands from CLAUDE.md, package scripts, or CI config. These are "the gates" below — the target repo's own, never an assumed toolchain.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago Changed · -9 lines faae488615cc
- 1mo ago First seen · 296 lines · 198 tokens per session scan A bd109183363f
work is a skill published in the GitHub repository fledgeling-co/fledgeling-plugins (2 stars, last pushed 4d ago), licensed MIT. It adds 198 tokens to every session and 4,435 once invoked, about $0.0008 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 2026-09-04.
Other skills, from other repositories
mcore-split-pr
Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups.
shiplog
Recap of everything shipped since the last run - cross-repo PRs, security fixes, star deltas, and X traction, synthesized into a digest article and a ready-to-post shiplog in your voice.
connect
Choose which wiki this session uses, the team project's pages on the Nimbalyst server or the project's local wiki of files, and connect a repository to its team project. Use at the start of a task before any wiki tool, when a wiki tool returns reponotbound, ambiguousproject, pinmismatch, projectnotaccessible…
llxprt-issue-workflow
Use this skill when asked to address, fix, or work on a GitHub issue in the llxprt-code repository. Covers the complete issue lifecycle - branch setup, gh CLI usage, test-first planning, subagent delegation and review loops, the full verification cycle (including the zai-glm-flash smoke test), open code review (ocr)…
cuga-github-issues
Create GitHub issues for cuga-agent (bugs, features, epics, designs, and related work) against origin using gh, with epic → feature → issue hierarchy and GraphQL sub-issue linking. Use when the user says create new issues, report a bug, file a bug, feature request, new feature, create an epic, GitHub issue, sub-issue…
implement-issue
Implement a Linear brief in a named GitHub repo. Use when the brief skill is implement-issue or the user wants a new branch and draft PR.