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 Jamie-BitFlight/claude_skills --skill groom-milestonegit clone --depth 1 https://github.com/Jamie-BitFlight/claude_skillsWrote 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/jamie-bitflight/claude_skills/groom-milestone)<a href="https://agentmods.dev/skills/jamie-bitflight/claude_skills/groom-milestone"><img src="https://agentmods.dev/badge/skills/jamie-bitflight/claude_skills/groom-milestone/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/jamie-bitflight/claude_skills/groom-milestone"><img src="https://agentmods.dev/badge/skills/jamie-bitflight/claude_skills/groom-milestone.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 | $0.00104 | $0.02091 |
| Opus 5 | $0.00052 | $0.01045 |
| Sonnet 5 | $0.00021 | $0.00418 |
| Haiku 4.5 | $0.00010 | $0.00209 |
Grade A, and why
groom-milestone 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 6d 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Groom Milestone
Prepare a GitHub milestone for parallel execution by /work-milestone.
Outcome
All items in the milestone are groomed, dependency-analyzed, and conflict-grouped — producing a dispatch plan that /work-milestone can execute without further human input except blocker resolution.
Entry Conditions
- Milestone number provided as first argument
- Milestone exists on GitHub with state=open
- At least one item assigned to the milestone (via
/group-items-to-milestone) - Backlog MCP server responding
Exit Conditions
- Every item in the milestone has
groomed: true - A priority-ordered list with wave assignments is produced
- A dependency graph (item-to-item) is produced with conflict groups identified
- Any items recommended for splitting have been split (user-approved)
- Any items recommended for addition have been added (user-approved)
- Dispatch plan stored via
dispatch_create_plan(milestone_number={N}, ...)and retrievable withdispatch_read({N})
Workflow
flowchart TD
Start(["Input: milestone number"]) --> Load["Step 1: Load Milestone<br>Action: backlog_list_issues(milestone=N)<br>Output: list of items with groomed status"]
Load --> Assess["Step 2: Assess Milestone Scope<br>Action: For each item, read title + description + labels<br>Output: scope summary — what the milestone covers"]
Assess --> GapCheck{"Step 3: Gap Analysis<br>Areas the milestone should cover<br>but no item addresses?<br>Observable: compare milestone title/description<br>against item titles and descriptions"}
GapCheck -->|"Gaps found"| ProposeAdd["Step 3a: Propose Additions<br>Action: Present gaps to user with<br>suggested new items or existing<br>backlog items to associate<br>Output: user decision per gap"]
GapCheck -->|"No gaps"| GroomGate
ProposeAdd --> AddItems["Step 3b: Execute Additions<br>Action: create-backlog-item, then<br>github_project_setup.py issue set-milestone<br>to assign it (see MCP Tools Used)<br>Output: updated milestone item list"]
AddItems --> GroomGate
GroomGate{"Step 4: Groom Check<br>Any items with groomed=false?<br>Observable: groomed field in<br>backlog_list_issues response"}
GroomGate -->|"Ungroomed items exist"| BatchGroom["Step 4a: Batch Groom via Kage-Bunshin<br>Actor: Parallel kage-bunshin sessions<br>Action: For each ungroomed item, spawn:<br>claude -p --model sonnet --permission-mode auto<br>--output-format json --no-session-persistence<br>'Load /dh:groom-backlog-item {title}'<br>All sessions run in same directory (no worktree —<br>grooming writes go through backlog MCP, not filesystem).<br>Wait for all PIDs to exit."]
GroomGate -->|"All groomed"| DepAnalysis
BatchGroom --> GroomResults{"Step 4b: Check Groom Results<br>Read each /tmp/kb-groom-{issue}.json<br>Any sessions failed?"}
GroomResults -->|"All succeeded"| DepAnalysis
GroomResults -->|"Some failed"| GroomFix{"Fixable without<br>user direction?"}
GroomFix -->|"Yes"| GroomRetry["Re-spawn failed items only"]
GroomRetry --> GroomResults
GroomFix -->|"No"| GroomEscalate["Report to user:<br>item, error, what was attempted"]
GroomEscalate --> GroomUserQ{"User says?"}
GroomUserQ -->|"Skip items"| DepAnalysis
GroomUserQ -->|"Abort"| Abort(["ABORT — user decision"])
DepAnalysis["Step 5: Dependency Analysis<br>Action: Read Impact Radius from each groomed item.<br>Compare file lists across all items to find overlaps.<br>Output: dependency graph — which items<br>touch overlapping files/modules"]
DepAnalysis --> ConflictGroup["Step 6: Conflict Grouping<br>Action: Items with file overlap form a conflict group.<br>Items in the same conflict group MUST execute sequentially.<br>Items in different groups or with no overlap execute in parallel.<br>Output: conflict groups list"]
ConflictGroup --> SplitCheck{"Step 7: Split Assessment<br>Any single item spanning multiple<br>independent plugins or repo areas?<br>Observable: item's Impact Radius<br>lists files in 2+ unrelated directories"}
SplitCheck -->|"Splittable items found"| ProposeSplit["Step 7a: Propose Splits<br>Action: Present split recommendations<br>to user with rationale per item<br>Output: user decision per split"]
SplitCheck -->|"No splits needed"| Prioritize
ProposeSplit --> ExecSplit["Step 7b: Execute Splits<br>Action: Create new backlog items for each split piece.<br>Assign to this milestone. Close original if fully decomposed.<br>Output: updated item list"]
ExecSplit --> DepAnalysis
Prioritize["Step 8: Priority Ordering<br>Action: Order items by:<br>1. Dependency constraints (blocked-by first)<br>2. Priority label (P0 > P1 > P2)<br>3. Conflict group (parallel-safe first)<br>Output: ordered list with wave assignments"]
Prioritize --> WavePlan["Step 9: Build Dispatch Plan<br>Action: Assign items to waves.<br>Wave 1: all items with no dependencies and no conflict group overlap.<br>Wave 2: items unblocked after Wave 1. Continue until all items assigned.<br>Verify wave ordering and dependency references.<br>Construct DispatchPlan object from wave assignments.<br>Call dispatch_create_plan(milestone_number=N, plan=dispatch_plan) to persist plan atomically.<br>For re-grooming a stale plan, pass overwrite=True.<br>Call dispatch_wave_start per wave to register state.<br>Output: plan/milestone-{N}-dispatch.yaml"]
WavePlan --> Report["Step 10: Report<br>Output: milestone summary with wave assignments,<br>conflict groups, estimated parallelism per wave,<br>and next command: /work-milestone {N}"]
Report --> Done(["Exit: Dispatch plan ready"])
What ships with it
1 file 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.
- 6d ago Changed 2488f220036e
- 7d ago First seen · 123 lines · 104 tokens per session scan A cbed967c014f
groom-milestone is a skill published in the GitHub repository Jamie-BitFlight/claude_skills (66 stars, last pushed today), licensed MIT. It adds 104 tokens to every session and 2,091 once invoked, about $0.0005 per session on Opus 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 2026-09-03.
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