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.
git clone --depth 1 https://github.com/boparaiamrit/skills-by-amritWrote 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/commands/boparaiamrit/skills-by-amrit/settings)<a href="https://agentmods.dev/commands/boparaiamrit/skills-by-amrit/settings"><img src="https://agentmods.dev/badge/commands/boparaiamrit/skills-by-amrit/settings/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/commands/boparaiamrit/skills-by-amrit/settings"><img src="https://agentmods.dev/badge/commands/boparaiamrit/skills-by-amrit/settings.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 | $0.00018 | $0.00756 |
| Opus 5 | $0.00009 | $0.00378 |
| Sonnet 5 | $0.00004 | $0.00151 |
| Haiku 4.5 | $0.00002 | $0.00076 |
Grade A, and why
settings 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 10d 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/settings — Project Configuration
View and modify the
.planning/config.jsonthat controls how planning and execution behave.
Usage
/settings — Show current settings
/settings set <key> <value> — Change a setting
/settings reset — Reset to defaults
Available Settings
Mode
node planning-tools.cjs config get mode
node planning-tools.cjs config set mode interactive # Ask before each step
node planning-tools.cjs config set mode auto # Auto-advance through steps
Depth
node planning-tools.cjs config get depth
node planning-tools.cjs config set depth quick # Minimal planning, maximum speed
node planning-tools.cjs config set depth standard # Balanced (default)
node planning-tools.cjs config set depth comprehensive # Maximum detail, full research
Workflow Preferences
# Auto-commit after each task
node planning-tools.cjs config set preferences.auto_commit true
# Auto-run tests during execution
node planning-tools.cjs config set preferences.auto_test true
# Require verification before marking tasks done
node planning-tools.cjs config set preferences.verification_required true
# Run research before planning
node planning-tools.cjs config set preferences.research_before_planning true
# Validate plan structure before execution
node planning-tools.cjs config set preferences.plan_check_before_execute false
# Auto-advance to next phase when current completes
node planning-tools.cjs config set preferences.auto_advance_phases false
# Include .planning/ in git commits
node planning-tools.cjs config set preferences.commit_planning_docs true
Settings Reference
| Key | Values | Default | Description |
|---|---|---|---|
mode |
interactive, auto | interactive | How much user confirmation is needed |
depth |
quick, standard, comprehensive | standard | How thorough planning/research is |
preferences.auto_commit |
true/false | false | Auto-commit after each task |
preferences.auto_test |
true/false | true | Auto-run tests during execution |
preferences.verification_required |
true/false | true | Must verify before marking done |
preferences.research_before_planning |
true/false | true | Run research step before planning |
preferences.plan_check_before_execute |
true/false | false | Validate plan XML before executing |
preferences.auto_advance_phases |
true/false | false | Auto-advance phases on completion |
preferences.commit_planning_docs |
true/false | true | Commit .planning/ to git |
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.
- 10d ago First seen · 105 lines · 18 tokens per session scan A a6ae4086159a
settings is a command published in the GitHub repository boparaiamrit/skills-by-amrit (5 stars, last pushed 5mo ago), licensed MIT. It adds 18 tokens to every session and 756 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.