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npx agentmarket install skill/paulnsorensen-age
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About
Use cases: documents, ml
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/age
What's inside
- Skill name
age- Description
- Staff Engineer code review orchestrator. Runs nine orthogonal LLM dimensions over a diff and emits a stake-weighted report plus hash-anchored sidecar JSON.
- License
- MIT
- Compatibility
- Requires Claude Code >= 2.1.30 / claude-agent-sdk >= 0.2.63 (older versions cannot expose tilth tools to plugin sub-agents).
- Metadata
- owner: cheese-flow · category: review
- Instructions
- 211 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- allowed-tools: must be a space-separated string
Files (17)
- SKILL.md
- go.md · references/assertions/
- protocol.md · references/assertions/
- python.md · references/assertions/
- rust.md · references/assertions/
- shell.md · references/assertions/
- typescript.md · references/assertions/
- go.md · references/deslop/
- protocol.md · references/deslop/
- python.md · references/deslop/
- rust.md · references/deslop/
- shell.md · references/deslop/
- typescript.md · references/deslop/
- fixture-protocol.md · references/
- protocol.md · references/nih/
- report-template.md · references/
- sidecar-schema.md · references/
SKILL.md (first lines)
# Age — Staff Engineer Code Review
Amplify the human reviewer's attention. Surface evidence, unknowns, and
tradeoffs. Do not render verdicts.
## Compatibility Check
Before dispatching agents, verify `tilth_*` MCP tools are available to
plugin sub-agents. If unavailable, fail fast:
```
ERROR: tilth MCP tools are not exposed to sub-agents.
Upgrade to Claude Code >= 2.1.30 / claude-agent-sdk >= 0.2.63.
See: anthropics/claude-code#13605
```
Do not attempt graceful degradation. The dim agents require `tilth_read`
and `tilth_search`; without them every agent silently misses evidence.
## Always-Fire Rationale (D-32)
All 9 dims fire on every invocation. Gating by file-type heuristics risks
silent misses. Each agent self-noops with `scope_match: false` + empty
observations when its rubric does not apply. Empty dims are tallied ("ran
9; N had findings"); only non-empty dims render as report sections.
Cost: ~35-45K Haiku tokens per /age. This is intentional and acceptable
(see spec D-32, D-21-final).
## Arguments
```
/age [<ref>] [--scope <path>] [--comprehensive]
```
- `ref` — git ref or range. Default: `$(git merge-base origin/main HEAD)..HEAD`
- `--scope <path>` — restrict evidence fetch to this path prefix
- `--comprehensive` — pass-through hint to dim agents; they may widen review window
## Phase 0 — Classify (no LLM)
Parse argv: extract `ref`, `scope`, `comprehensive` flag.
```bash
REF="${1:-$(git merge-base origin/main HEAD)..HEAD}"
SLUG="$(echo "$REF" | tr '/..:' '----' | head -c 32)"
RUN_DIR="${TMPDIR:-/tmp}/cheese-flow-age-$(date +%Y%m%d-%H%M%S)-${SLUG}"
mkdir -p "$RUN_DIR"
```
## Phase 1 — Pre-fetch Evidence (parallel; D-22)
Run all fetches in parallel. Merge into `$RUN_DIR/evidence-pack.yaml`.
**Parallel tasks:**
```bash
git diff --unified=3 $REF > $RUN_DIR/diff.patch
python python/tools/git_diagnose.py precedent \
--symbols <touched-symbols> --paths <touched-paths> \
> $RUN_DIR/precedent.json
python python/tools/git_diagnose.py concurrent-prs \
--paths <touched-paths> \
> $RUN_DIR/concurrent-prs.json
```
For each file touched by the diff:
- `cheez-read` in outline mode → file structure without inline source
- `tilth_deps` → import/export graph
- `cheez-search --kind callers` for each touched symbol
**Optional — code-review-graph impact radius:**
Try `get_impact_radius_tool(touched_symbols)`. If the MCP tool is
unavailable (plugin not loaded, tool not found), write:
```json
{"impact_radius": null}
```
and continue. Do NOT fail the run. Log a one-line notice.
**Merge into evidence pack:**
```yaml
# $RUN_DIR/evidence-pack.yaml
ref: <REF>
outlines:
<path>: <tilth outline>
deps:
<path>: <tilth_deps output>
callers:
<symbol>: [<call sites>]
precedent: <precedent.json contents>
concurrent_prs: <concurrent-prs.json contents>
impact_radius: <get_impact_radius output or null>
```
No inline source content in the pack. Agents use `cheez-read` for
follow-up source reads after reviewing the outline.
## Phase 2 — Dispatch All 9 Dim Agents (parallel; D-32)
Spawn all agents in parallel. Each agent:
- Reads `$RUN_DIR/evidence-pack.yaml` as primary evidence
- Reads `$RUN_DIR/diff.patch` for the change context
- Writes `$RUN_DIR/<dim>.json` per the per-agent return contract
(see `skills/age/references/sidecar-schema.md`)
Agents to dispatch:
- `age-correctness`
- `age-security`
- `age-complexity`
- `age-encapsulation`
- `age-spec`
- `age-precedent`
- `age-deslop`
- `age-assertions`
- `age-nih`From paulnsorensen/cheese-flow, MIT.
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- 0.498score
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Scan a codebase for custom code that duplicates what open-source libraries already do, then recommend which libraries to adopt.
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cheez-search
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Finish what /age started.
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Mechanical apply of /age's hash-anchored sidecar fixes via tilth_edit.
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Iterative thinking amplifier for fuzzy ideas.
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Use the Milknado MCP tools to pick and execute the next ready node from the Mikado graph, apply file changes, and run quality gates.
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research
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Multi-source research orchestrator that routes questions across Context7 library docs, Tavily web research, codebase analysis, and GitHub examples, then…
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merge-resolve
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Resolve merge conflicts, rebase conflicts, and cherry-pick failures using mergiraf (AST-aware structural merge), git rerere, and kdiff3.
SkillDFreshness: D★ 1Claude Code +9 - 0.432score
cheez-read
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Smart code reading using tilth MCP.
SkillDFreshness: D★ 1Claude Code +9 - 0.432score
gh
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Complete GitHub tasks using the gh CLI.
SkillDFreshness: D★ 1Claude Code +9 - 0.432score
cheez-write
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Hash-anchored file editing using tilth MCP.
SkillDFreshness: D★ 1Claude Code +9 - 0.425score
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Use the Milknado MCP tools to decompose a goal into a Mikado-style change graph and produce a token-budgeted batch plan.
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Signals
- Stars
- 1
- Forks
- 1
- Open issues
- 25
- Last commit (this folder)
- May 3, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/paulnsorensen/cheese-flow
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Optimize GitHub Actions workflow wait time with measured evidence.
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Runs the cheese-board workflow and asks the user each question it raises.
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Cite this page
age skill. Agent Mart. https://agentmart.dev/skills/paulnsorensen-age (last updated 2026-10-24)