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 commands/torvaldz/trailhead/configgit clone --depth 1 https://github.com/ToRvaLDz/trailheadWrote 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/torvaldz/trailhead/config)<a href="https://agentmods.dev/commands/torvaldz/trailhead/config"><img src="https://agentmods.dev/badge/commands/torvaldz/trailhead/config.svg" alt="Measured on agentmods" 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 | $0.00011 | $0.00110 |
| Opus 5 | $0.00005 | $0.00055 |
| Sonnet 5 | $0.00002 | $0.00022 |
| Haiku 4.5 | $0.00001 | $0.00011 |
Grade A, and why
config 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 3d 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.
What it actually says
Invoke the trailhead skill for the config action: call the Skill tool with skill name trailhead-manage and arguments config $ARGUMENTS, then read the skill's references/configuration.md and follow it: that file holds the keys, their semantics, and the guided setup. Do not re-implement the behaviour here. The skill is the single source of truth.
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.
- 3d ago First seen · 7 lines · 11 tokens per session scan A 3b3532570559
config is a command published in the GitHub repository ToRvaLDz/trailhead (1 stars, last pushed 3d ago), licensed MIT. It adds 11 tokens to every session and 110 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
diff-script
Compare an MDL script against the project's current state.
toh-help
Display all Toh Framework commands and quick usage guide.
release-now
Create a git tag + GitHub Release for open-pr — an official release if standing on main, an RC if standing on a branch with an open PR (a dev tool specific to this repo, not shipped in the plugin).
vitaecontext-github
Audit or improve GitHub profile and repository SEO.
pipeline-undo
Undo a pipeline run's result. With worktree isolation (the current engine), this is clean and low-risk: a run never touches your checkout — its result lives only on a pipeline/ branch (and, for a --push run, on the remote). "Undo" therefore means deleting that branch and its worktree, not reverting your working tree.
bug-check
Run automated tests and build checks first, then agent code review. For each bug found, propose or document a regression test.