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 skills add zahardev/aicontext --skill close-taskgit clone --depth 1 https://github.com/zahardev/aicontextWrote 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/skills/zahardev/aicontext/close-task)<a href="https://agentmods.dev/skills/zahardev/aicontext/close-task"><img src="https://agentmods.dev/badge/skills/zahardev/aicontext/close-task/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/zahardev/aicontext/close-task"><img src="https://agentmods.dev/badge/skills/zahardev/aicontext/close-task.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00000 | $0.00044 |
| Opus 5.5 | $0.00000 | $0.00018 |
| Sonnet 5.5 | $0.00000 | $0.00009 |
| Haiku 4.5 | $0.00000 | $0.00004 |
Grade A, and why
close-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 26d 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.
What it actually says
Read and follow .aicontext/prompts/close-task.md
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.
- 26d ago First seen · 8 lines · 0 tokens per session scan A edeed1f646c9
close-task is a skill published in the GitHub repository zahardev/aicontext (2 stars, last pushed 17d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 44 tokens. 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 2026-09-20.
Other skills, from other repositories
creating-issues-and-pull-requests
Use when creating GitHub pull requests or issues with template compliance. Triggers: 'create a PR', 'open a pull request', 'file an issue', 'create issue'. Also invoked by finishing-a-development-branch. NOT for: deciding whether to merge or PR (use finishing-a-development-branch).
status
Show a comprehensive project status dashboard: task queue, blocked items, session state, verification, and git status.
aio-github
Read and manage GitHub repos, pull requests, issues, releases, and branches via github-mcp (auto-installs if missing). Use when the user mentions a GitHub URL, asks to open/review/merge a PR, comment on an issue, list repos, trigger a release, or run any GitHub action programmatically.
quick
Execute an ad-hoc task with atomic commits. Skips full plan/review.
github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration.
create-issue
Draft and submit a GitHub issue from a user idea or bug description, with bilingual body and correct labels.