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 skills/jsegov/shipspec-claude-code-plugin/task-loop-verifynpx skills add jsegov/shipspec-claude-code-plugin --skill task-loop-verifygit clone --depth 1 https://github.com/jsegov/shipspec-claude-code-pluginWhat 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 | $0.00034 | $0.01290 |
| Opus 5 | $0.00017 | $0.00645 |
| Sonnet 5 | $0.00007 | $0.00258 |
| Haiku 4.5 | $0.00003 | $0.00129 |
Grade A, and why
task-loop-verify scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Task Loop Verification
Verify the current task in the loop and output a completion marker if successful. This skill wraps task-verifier and outputs the marker that the stop hook looks for.
When to Use
Use this skill when:
- You've finished implementing a task and want to verify it
- The stop hook has triggered another loop iteration
- You want to exit the task loop cleanly
Process
Step 1: Read Loop State
First, check for the pointer file and get the state path:
if [[ -f .shipspec/active-loop.local.json ]]; then
LOOP_TYPE=$(jq -r '.loop_type // empty' .shipspec/active-loop.local.json)
if [[ "$LOOP_TYPE" == "task-loop" ]]; then
jq -r '.state_path // empty' .shipspec/active-loop.local.json
else
echo "WRONG_LOOP_TYPE"
fi
else
echo "NO_POINTER"
fi
If NO_POINTER or WRONG_LOOP_TYPE:
"No active task loop. Run
/implement-task <feature> <task-id>to start a task." Stop here.
If state_path found: Check the state file exists:
test -f [state_path] && echo "EXISTS" || echo "NO_STATE_FILE"
If NO_STATE_FILE: Clean up stale pointer and report:
rm -f .shipspec/active-loop.local.json
"No active task loop (stale pointer cleaned up). Run
/implement-task <feature> <task-id>to start a task." Stop here.
If found: Parse the JSON state file to extract:
jq -r '.feature // empty' [state_path]
jq -r '.task_id // empty' [state_path]
jq -r '.iteration // 0' [state_path]
jq -r '.max_iterations // 5' [state_path]
feature: The feature directory nametask_id: The task being implementediteration: Current attempt numbermax_iterations: Maximum allowed attempts
Store the state_path for cleanup later.
Step 2: Load Task Prompt
The task prompt is stored in TASKS.json, not in the state file.
Read the prompt from TASKS.json:
jq -r --arg id "[task_id]" '.tasks[$id].prompt // empty' .shipspec/planning/[feature]/TASKS.json
Step 3: Run Verification
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.
- 2d ago First seen · 165 lines · 34 tokens per session scan A 150cabb50f42
task-loop-verify is a skill published in the GitHub repository jsegov/shipspec-claude-code-plugin (20 stars, last pushed 7mo ago), licensed MIT. It adds 34 tokens to every session and 1,290 once invoked, about $0.0002 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 2026-08-30.
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