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/poindexter12/waypoint/statusgit clone --depth 1 https://github.com/poindexter12/waypointWrote 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/poindexter12/waypoint/status)<a href="https://agentmods.dev/commands/poindexter12/waypoint/status"><img src="https://agentmods.dev/badge/commands/poindexter12/waypoint/status.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 | $0.00013 | $0.03153 |
| Opus 5 | $0.00006 | $0.01577 |
| Sonnet 5 | $0.00003 | $0.00631 |
| Haiku 4.5 | $0.00001 | $0.00315 |
Grade A, and why
status scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 477 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/working-tree:status
Display current worktree AI context metadata and git information.
EXECUTION PROTOCOL
Execute steps sequentially. Each step must complete successfully before proceeding.
STEP 1: DETECT REPOSITORY ROOT
EXECUTE:
REPO_ROOT=$(git rev-parse --show-toplevel 2>&1)
EXIT_CODE=$?
VALIDATION:
- IF EXIT_CODE != 0 → ERROR PATTERN "not-in-git-repo"
- REPO_ROOT must be absolute path starting with /
- REPO_ROOT directory must exist
DATA EXTRACTION:
- REPO_NAME = basename of REPO_ROOT
NEXT:
- On success → STEP 2
- On failure → ABORT
STEP 2: DETECT CURRENT BRANCH
EXECUTE:
BRANCH_NAME=$(git rev-parse --abbrev-ref HEAD 2>&1)
EXIT_CODE=$?
VALIDATION:
- IF EXIT_CODE != 0 → ERROR PATTERN "git-command-failed"
- BRANCH_NAME must not be empty string
NEXT:
- On success → STEP 3
- On failure → ABORT
STEP 3: CHECK METADATA FILE
EXECUTE:
METADATA_PATH="$REPO_ROOT/.ai-context.json"
test -f "$METADATA_PATH"
EXISTS=$?
VALIDATION:
- EXISTS is 0 (true) or 1 (false), no other values
NEXT:
- IF EXISTS == 0 → STEP 4 (metadata exists)
- IF EXISTS == 1 → STEP 5 (no metadata)
STEP 4: READ AND PARSE METADATA
EXECUTE:
METADATA_JSON=$(cat "$METADATA_PATH" 2>&1)
CAT_EXIT=$?
VALIDATION:
- IF CAT_EXIT != 0 → ERROR PATTERN "file-read-failed"
DATA EXTRACTION:
MODE=$(echo "$METADATA_JSON" | jq -r '.mode // "unknown"' 2>&1)
JQ_EXIT_MODE=$?
DESCRIPTION=$(echo "$METADATA_JSON" | jq -r '.description // ""' 2>&1)
JQ_EXIT_DESC=$?
CREATED=$(echo "$METADATA_JSON" | jq -r '.created // ""' 2>&1)
JQ_EXIT_CREATED=$?
VALIDATION:
- IF JQ_EXIT_MODE != 0 → ERROR PATTERN "invalid-json"
- MODE must be one of: main, feature, bugfix, experiment, review, unknown
- DESCRIPTION can be empty string
- CREATED should be ISO8601 format or empty
NEXT:
- On success → STEP 6 (display with metadata)
- On jq failure → ERROR PATTERN "invalid-json"
STEP 5: DISPLAY NO METADATA
OUTPUT FORMAT (exact):
Worktree Status
═══════════════════════════════════════════════════════════
Directory: {REPO_NAME}
Branch: {BRANCH_NAME}
Mode: (no metadata)
⚠ No .ai-context.json found
This worktree doesn't have AI context metadata.
To add metadata to this worktree:
/working-tree:adopt [--mode <mode>] [--description "<text>"]
To create a new worktree with metadata:
/working-tree:new <branch-name>
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.
- 5d ago First seen · 477 lines · 13 tokens per session scan A 220256c99a84
status is a command published in the GitHub repository poindexter12/waypoint (7 stars, last pushed 7mo ago), licensed MIT. It adds 13 tokens to every session and 3,153 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.