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/obsfx/trekker-claude-codeWrote 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/obsfx/trekker-claude-code/ready)<a href="https://agentmods.dev/commands/obsfx/trekker-claude-code/ready"><img src="https://agentmods.dev/badge/commands/obsfx/trekker-claude-code/ready/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/obsfx/trekker-claude-code/ready"><img src="https://agentmods.dev/badge/commands/obsfx/trekker-claude-code/ready.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 | $0.00011 | $0.00494 |
| Opus 5.5 | $0.00004 | $0.00198 |
| Sonnet 5.5 | $0.00002 | $0.00099 |
| Haiku 4.5 | $0.00001 | $0.00049 |
Grade A, and why
trekker:ready 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 1mo 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.
This is a copy
88% identical to trekker:ready — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Find unblocked tasks that are ready to be worked on, with full context from recent history.
IMPORTANT: /trekker:ready is a skill (invoke via Skill tool), NOT a bash command. Use trekker CLI as shown below.
Execution
Step 1: Search for Context (MANDATORY)
Before picking work, search for related past work:
# Search for what the user is working on
trekker search "<user's current focus area>"
# Search completed tasks for context
trekker search "<keywords>" --status completed
Why search first:
- Reveals past decisions and solutions you've forgotten
- May find completed work that informs the approach
- Prevents re-investigating solved problems
Step 2: Context Recovery via CLI (MANDATORY)
# Check for any in-progress work first
trekker --toon task list --status in_progress
# Review recent changes for context
trekker history --limit 10
Why this matters:
- Avoid picking up work that's already started
- Understand recent decisions and completions
- Recall context from previous sessions
Step 3: Find Ready Work
# Show all unblocked todo tasks with their downstream dependents
trekker --toon ready
The ready command returns tasks that:
- Have status
todo - Are top-level tasks (not subtasks)
- Have no incomplete dependencies blocking them
For each ready task, it also shows downstream dependents — tasks that are waiting on it to be completed.
Step 4: Get Full Context Before Recommending
For each candidate task, gather context via CLI:
# Task details
trekker task show <task-id>
# Change history for this task
trekker history --entity <task-id>
# Comments for context
trekker comment list <task-id>
# Dependencies
trekker dep list <task-id>
Prioritization
Present tasks sorted by priority (0=critical first). The ready command already returns tasks in priority order.
After Listing
Ask if the user wants to start working on one of the ready tasks.
If yes, use /trekker:start <task-id> workflow.
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.
- 1mo ago First seen · 84 lines · 11 tokens per session scan A 734486cc3372
trekker:ready is a command published in the GitHub repository obsfx/trekker-claude-code (4 stars, last pushed yesterday), licensed MIT. It adds 11 tokens to every session and 494 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to trekker:ready, differing in 2 lines, and is treated as a copy.
Other commands, from other repositories
flow
Conductor - an idea or change request, a spec or task id, a tracker issue, a branch or path, a bug report, a how or why question, something slow, a behaviour-keeping cleanup, a design fork, or "what next"; --auto drives a ready spec unattended (--tick for one hop) and ends with a PILOTVERDICT line; --until=merge…
tracker-sync
Project a flow spec to a tracker (Linear/GitHub/GitLab/Jira) and reconcile body/status/comments two-way — projection, not coordination. NOT plan-sync (/flow-next:sync).
audit
Audit .flow/memory/ entries against the current codebase — Keep / Update / Consolidate / Replace / Delete / Harden per entry.
make-pr
Render a cognitive-aid PR body from flow-next state and open via gh.
features
Seed or maintain the committed user-POV feature map at .flow/features/.
land
Resolve and squash merge one named, currently authorized pull request.