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/dtormoen/tsk-tsk/tsk-addnpx skills add dtormoen/tsk-tsk --skill tsk-addgit clone --depth 1 https://github.com/dtormoen/tsk-tskWhat 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 | $0.00016 | $0.00964 |
| Opus 5 | $0.00008 | $0.00482 |
| Sonnet 5 | $0.00003 | $0.00193 |
| Haiku 4.5 | $0.00002 | $0.00096 |
Grade A, and why
tsk-add 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.
How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Queue Task from Conversation
You are helping the user queue a task based on the conversation you just had. The user has been discussing a design, architecture decision, or code change with you, and now wants to queue it as an asynchronous task.
Available Templates
These are the task templates available for use with tsk add -t <template>:
!`tsk template list`
To see the full content of a template, run tsk template show <template>. When a task is created, the {{PROMPT}} placeholder in the template is replaced with whatever you pipe in via heredoc or pass via the -p flag, and any YAML frontmatter is stripped. The result is what gets sent to the agent.
Your Job
-
Summarize the agreed-upon work: Review the conversation above and identify:
- What change or feature was discussed
- Key design decisions that were made
- Any specific files, components, or areas mentioned
- Acceptance criteria or requirements that were established
- Ask clarifying questions about requirements, architecture choices, or task details
- Only proceed once agreement has been reached
-
Create a task name: Come up with a short, branch-friendly name (e.g.,
add-auth,refactor-api,fix-validation) -
Pick the best template: Based on the nature of the task, choose the template from the list above that best matches the work to be done (e.g.,
featfor new features,fixfor bug fixes,refactorfor restructuring,docfor documentation). -
Write the task prompt: Create a clear, self-contained prompt that includes:
- The goal of the change
- Key design decisions from the conversation
- Specific files or areas to focus on (if discussed)
- Acceptance criteria
-
Queue the task: Use
tsk addto create the task:- If you have already written a plan markdown file, prefer using
--prompt-file - If you do not already have a plan in a file, prefer piping in the input
- If you have already written a plan markdown file, prefer using
tsk add -t <template> -n "<task-name>" <<'EOF'
<task description>
EOF
# Alternatively:
tsk add -t <template> --prompt-file <path_to_the_plan>
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 · 110 lines · 16 tokens per session scan A 43b505802cea
tsk-add is a skill published in the GitHub repository dtormoen/tsk-tsk (170 stars, last pushed 1mo ago), licensed MIT. It adds 16 tokens to every session and 964 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 2026-08-30.
Other skills, from other repositories
git-commit-helper
Generate conventional commit messages automatically. Use when user runs git commit, stages changes, or asks for commit message help. Analyzes git diff to create clear, descriptive conventional commit messages. Triggers on git commit, staged changes, commit message requests.
code-reviewer
Automatic code quality and best practices analysis. Use proactively when files are modified, saved, or committed. Analyzes code style, patterns, potential bugs, and security basics. Triggers on file changes, git diff, code edits, quality mentions.
test-generator
Automatically suggest tests for new functions and components. Use when new code is written, functions added, or user mentions testing. Creates test scaffolding with Jest, Vitest, Pytest patterns. Triggers on new functions, components, test requests, testing mentions.
api-documenter
Auto-generate API documentation from code and comments. Use when API endpoints change, or user mentions API docs. Creates OpenAPI/Swagger specs from code. Triggers on API file changes, documentation requests, endpoint additions.
readme-updater
Keep README files current with project changes. Use when project structure changes, features added, or setup instructions modified. Suggests README updates based on code changes. Triggers on significant project changes, new features, dependency changes.
security-auditor
Continuous security vulnerability scanning for OWASP Top 10, common vulnerabilities, and insecure patterns. Use when reviewing code, before deployments, or on file changes. Scans for SQL injection, XSS, secrets exposure, auth issues. Triggers on file changes, security mentions, deployment prep.