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 agentmods add skills/luiseiman/dotforge/benchmarknpx skills add luiseiman/dotforge --skill benchmarkgit clone --depth 1 https://github.com/luiseiman/dotforgeWhat 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 | $0.00018 | $0.01109 |
| Opus 5 | $0.00009 | $0.00554 |
| Sonnet 5 | $0.00004 | $0.00222 |
| Haiku 4.5 | $0.00002 | $0.00111 |
Grade A, and why
benchmark 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 2d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Benchmark
Compare the effectiveness of a project's full dotforge configuration against a minimal baseline by executing the same standardized task in two isolated worktrees.
Cost warning: Each benchmark runs Claude Code twice (full + minimal). Use sparingly and only after Fases 0-2 are working.
Prerequisites
- Project must have
.claude/settings.jsonandCLAUDE.md - Project must be a git repository with a clean working tree
- Task definitions must exist in
$DOTFORGE_DIR/tests/benchmark-tasks/
Step 1: Select task
- Detect project stacks from
.claude/.forge-manifest.jsonor infer from project files - Load matching task from
$DOTFORGE_DIR/tests/benchmark-tasks/{stack}.yml - If multiple stacks match, let user choose or run the first match
- If no stack matches, use
generic.yml
Display:
═══ BENCHMARK SETUP ═══
Project: {{name}}
Stack detected: {{stack}}
Task: {{task title}}
Description: {{task description}}
⚠ This will run Claude Code twice in isolated worktrees.
Proceed? (yes/no)
Step 2: Prepare worktrees
Create two git worktrees from the current HEAD:
-
Full config —
git worktree add /tmp/bench-full-{{slug}} HEAD- Copy entire
.claude/directory as-is - Copy
CLAUDE.mdas-is
- Copy entire
-
Minimal config —
git worktree add /tmp/bench-minimal-{{slug}} HEAD- Create minimal
CLAUDE.mdwith only project name and "Build & Test" section - Create minimal
.claude/settings.jsonwith onlyallowedTools(no hooks, no deny list) - No
.claude/rules/, no hooks, no agents
- Create minimal
Step 3: Execute task
For each worktree, run the task prompt using Claude Code in non-interactive mode:
cd /tmp/bench-full-{{slug}}
claude --print "{{task prompt}}" --allowedTools "Bash,Read,Write,Edit,Glob,Grep"
Same for minimal worktree.
Capture for each run:
- files_created: count of new files (git diff --name-only --diff-filter=A)
- files_modified: count of modified files
- tests_passing: run the test command from task definition, count pass/fail
- lint_issues: run lint command from task definition, count issues
- errors: grep stderr for error patterns
- has_test: boolean — did Claude create a test file?
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.
- 2d ago First seen · 132 lines · 18 tokens per session scan A 79147083d8a8
benchmark is a skill published in the GitHub repository luiseiman/dotforge (8 stars, last pushed 2mo ago), licensed MIT. It adds 18 tokens to every session and 1,109 once invoked, about $0.0001 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 2026-08-31.
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