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/trekkerWrote 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/task-agent)<a href="https://agentmods.dev/commands/obsfx/trekker/task-agent"><img src="https://agentmods.dev/badge/commands/obsfx/trekker/task-agent/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/task-agent"><img src="https://agentmods.dev/badge/commands/obsfx/trekker/task-agent.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 | $0.00016 | $0.00623 |
| Opus 5.5 | $0.00006 | $0.00249 |
| Sonnet 5.5 | $0.00003 | $0.00125 |
| Haiku 4.5 | $0.00002 | $0.00062 |
Grade A, and why
trekker:task-agent 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 yesterday.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- trekker:task-agent — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Run as an autonomous task agent that finds ready work and completes it without user intervention.
IMPORTANT: /trekker:task-agent is a skill (invoke via Skill tool), NOT a bash command.
Mode
This is an autonomous workflow. Once started, work through tasks until:
- All ready tasks are completed
- A task requires user input/decision
- An external blocker is encountered
Workflow Cycle
1. Discovery
Find unblocked tasks ready for work:
# Check for in-progress work first (resume if exists)
trekker --toon task list --status in_progress
# Find ready tasks by priority
trekker --toon task list --status todo
Prioritize by:
- Priority (0=critical first, then 1=high, etc.)
- Skip tasks with incomplete dependencies
2. Engagement
Select a task and prepare:
# Get full task details
trekker task show <task-id>
# Check for existing comments/context
trekker comment list <task-id>
# Mark as in progress
trekker task update <task-id> -s in_progress
3. Execution
Complete the work according to the task description:
- Follow project coding standards
- Make minimal, focused changes
- Document significant decisions
4. Documentation
Track discoveries and related work:
# Create tasks for discovered bugs or improvements
trekker task create -t "New issue title" -d "description"
# Link dependencies if needed
trekker dep add <new-task-id> <original-task-id>
# Add progress comments for complex work
trekker comment add <task-id> -a "claude" -c "Progress: ..."
5. Closure
Complete the task properly:
# Add summary comment (required before completion)
trekker comment add <task-id> -a "claude" -c "Summary: implemented X in files A, B"
# Mark as completed
trekker task update <task-id> -s completed
6. Iteration
Return to Discovery phase for the next task.
Rules
- Always set status to
in_progressbefore starting work - Always add a summary comment before marking complete
- Create new tasks for discovered bugs - don't scope creep
- Stop and ask user if:
- Task requirements are unclear
- Multiple valid approaches exist
- External action is needed (e.g., API keys, permissions)
- Mark tasks
wont_fixif blocked by external factors
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.
- yesterday First seen · 107 lines · 16 tokens per session scan A 227b20f52a18
trekker:task-agent is a command published in the GitHub repository obsfx/trekker (84 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 623 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-25.
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