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/ithinkihaveacat/dotfiles/taskgonpx skills add ithinkihaveacat/dotfiles --skill taskgogit clone --depth 1 https://github.com/ithinkihaveacat/dotfilesWhat 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 | $0.00062 | $0.05106 |
| Opus 5 | $0.00031 | $0.02553 |
| Sonnet 5 | $0.00012 | $0.01021 |
| Haiku 4.5 | $0.00006 | $0.00511 |
Grade A, and why
taskgo 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 3d 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 — 469 lines — stays where its author put it; the contents beside it link to each section on GitHub.
taskgo
Use for one user's private control repository (also called the control repo, taskgo tracker, or project tracker) spanning multiple technical projects and external artifacts. Humans mainly read current Markdown; agents mainly edit it, operate Git, reconstruct history, and generate summaries.
Model
HEAD is optimized for resuming work; Git history explains how HEAD came to be. Rewritten current state keeps routine agent context bounded; do not append journals just to retain history.
AGENTS.md # taskgo declaration + repository instructions
INBOX.md # zero-ceremony capture; no schema
<id>/
README.md # identity, scope, constraints, artifacts (or PROJECT.md)
STATUS.md # current human view + generated task block
PLAN.md # intended route forward (optional)
tasks/*.md # stable task records
decisions/*.md # ADRs (optional)
references/* # supporting context, schemas, design tokens, external docs (optional)
bugreports/* # captured bug reports, reproduction logs, triage traces (optional)
scripts/* # automation, audit harnesses, pipelines, report generators (optional)
data/* # input datasets, package lists, static fixtures (optional)
results/* # benchmark telemetry, run logs, audit outputs (optional)
dist/* # static dashboards, deployable bundles, HTML reports (optional)
The root AGENTS.md explicitly states that the repository follows taskgo and
includes the canonical specification URL:
https://github.com/ithinkihaveacat/dotfiles/tree/master/skills/taskgo. This
ensures agents can discover the governing process from the repository itself.
doctor reports a missing declaration or URL.
A control repo may grant standing authority for guarded local checkpoint commits
by adding this marker to its committed root AGENTS.md:
<!-- taskgo:allow-local-commits -->
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago First seen · 469 lines · 62 tokens per session scan A 5bb3298d5369
taskgo is a skill published in the GitHub repository ithinkihaveacat/dotfiles (48 stars, last pushed 4d ago), licensed Apache-2.0. It adds 62 tokens to every session and 5,106 once invoked, about $0.0003 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
aish-add-skills
Create new skills from documents, tutorials, or examples. Use when user wants to create a skill from learning materials or existing content.
diagnose_system_lag
Local Linux lag and performance diagnosis. Run read-only probes based on the user's symptoms to find CPU, memory, disk, or local network bottlenecks, then give safe advice. Never auto-remediate. Also matches Chinese requests such as 系统卡顿、机器好慢、内存不足、突然重启、OOM、磁盘很慢.
devops-docker-patterns
Docker containerization expert specializing in multi-stage builds, image optimization, Docker Compose patterns, and production container security. Use for Dockerfile optimization, compose configurations, and container best practices.
devops-platform-engineering
Platform engineering expert specializing in internal developer platforms, self-service infrastructure, Backstage service catalogs, GitOps with ArgoCD, and golden path templates. Use for building developer portals and platform-as-a-product.
dns-diagnose
Local DNS resolution troubleshooting with dig/resolvectl/whois. Investigate NXDOMAIN, wrong answers, records not taking effect, and resolver failures. Read-only; do not change DNS config. Also matches Chinese requests such as DNS 解析失败、域名解析不了、NXDOMAIN、解析不到.
network-path-diagnose
Diagnose network path quality from this host to a target using ping/mtr/curl. Investigate packet loss, high latency, jitter, and reachability failures; interpret hop results and suggest follow-up tests. Do not change network config. Also matches Chinese requests such as 网络丢包、延迟高、链路质量、ping 不通、网络抖动.