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/snarktank/code-editing-agent/update-single-taskgit clone --depth 1 https://github.com/snarktank/code-editing-agentWhat 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 | $0.00000 | $0.00589 |
| Opus 5 | $0.00000 | $0.00295 |
| Sonnet 5 | $0.00000 | $0.00118 |
| Haiku 4.5 | $0.00000 | $0.00059 |
Grade A, and why
update-single-task 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.
This is a copy
100% identical to update-single-task — 0 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Update a single specific task with new information.
Arguments: $ARGUMENTS
Parse task ID and update details.
Single Task Update
Precisely update one task with AI assistance to maintain consistency.
Argument Parsing
Natural language updates:
- "5: add caching requirement"
- "update 5 to include error handling"
- "task 5 needs rate limiting"
- "5 change priority to high"
Execution
task-master update-task --id=<id> --prompt="<context>"
Update Types
1. Content Updates
- Enhance description
- Add requirements
- Clarify details
- Update acceptance criteria
2. Metadata Updates
- Change priority
- Adjust time estimates
- Update complexity
- Modify dependencies
3. Strategic Updates
- Revise approach
- Change test strategy
- Update implementation notes
- Adjust subtask needs
AI-Powered Updates
The AI:
-
Understands Context
- Reads current task state
- Identifies update intent
- Maintains consistency
- Preserves important info
-
Applies Changes
- Updates relevant fields
- Keeps style consistent
- Adds without removing
- Enhances clarity
-
Validates Results
- Checks coherence
- Verifies completeness
- Maintains relationships
- Suggests related updates
Example Updates
/project:tm/update/single 5: add rate limiting
→ Updating Task #5: "Implement API endpoints"
Current: Basic CRUD endpoints
Adding: Rate limiting requirements
Updated sections:
✓ Description: Added rate limiting mention
✓ Details: Added specific limits (100/min)
✓ Test Strategy: Added rate limit tests
✓ Complexity: Increased from 5 to 6
✓ Time Estimate: Increased by 2 hours
Suggestion: Also update task #6 (API Gateway) for consistency?
Smart Features
-
Incremental Updates
- Adds without overwriting
- Preserves work history
- Tracks what changed
- Shows diff view
-
Consistency Checks
- Related task alignment
- Subtask compatibility
- Dependency validity
- Timeline impact
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 · 119 lines · 0 tokens per session scan A 253677d72ace
update-single-task is a command published in the GitHub repository snarktank/code-editing-agent (24 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 589 tokens. A static security scan graded it A with 0 findings. It is 100% identical to update-single-task, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
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.