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 softspark/ai-toolkit --skill autonomous-devgit clone --depth 1 https://github.com/softspark/ai-toolkitWrote 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/softspark/ai-toolkit/autonomous-dev)<a href="https://agentmods.dev/skills/softspark/ai-toolkit/autonomous-dev"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/autonomous-dev/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/softspark/ai-toolkit/autonomous-dev"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/autonomous-dev.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 | $0.00054 | $0.02057 |
| Opus 5 | $0.00027 | $0.01028 |
| Sonnet 5 | $0.00011 | $0.00411 |
| Haiku 4.5 | $0.00005 | $0.00206 |
Grade A, and why
autonomous-dev 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 today.
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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Autonomous Development
$ARGUMENTS
Own one software-delivery run from its requested outcome to a reviewed, verified PR. Continue through reversible decisions within the user's approved scope, recording assumptions where they can be reviewed. Use existing skills for their actual work; this skill owns sequencing, state and the exit gate.
Entry points
| Input | Action |
|---|---|
setup |
Inspect the project and create its validation/tracker/QA configuration |
run <brief, spec path, Jira key, issue URL or PR URL> |
Resolve the task, reuse existing work, then run the process |
list |
List this repository's existing runs without changing state |
resume <run-id> |
Read durable state, claim ownership and continue at the first unmet gate |
status <run-id> |
Read state and report the next action; change nothing |
A plain task description means run. /workflow autonomous-development
routes here. A request only to review code stays with /review; an incident
stays with the incident-response workflow.
Setup and authorization
Read project configuration on first use or when
project commands change. Check the target repository's instructions, KB, actual
build/test commands and provider identities. Keep issueTracker, codeHost and
knowledge separate. For Jira/RAG projects, read the
stack integration contract before discovery
and reuse it for resume, QA and finalization.
Validate the reviewed configuration locally before initializing the run:
python3 ${CLAUDE_SKILL_DIR}/scripts/delivery-config.py --config /absolute/project/.ai-toolkit/autonomous.json
python3 ${CLAUDE_SKILL_DIR}/scripts/delivery-config.py --config /absolute/project/.ai-toolkit/autonomous.json --task PROJ-123
Pass --task only for a Jira key/browse URL; briefs, specs and code-host PRs use
their own source resolution. For Jira, use the returned canonical subject after
checking the real task/instance and Git repository mapping. Preflight does not
contact MCP or prove those live conditions. Configuration records project facts;
it cannot grant publishing permissions, change models or relax host safeguards.
What ships with it
7 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.
- today First seen · 177 lines · 54 tokens per session scan A bdc955cef2f9
autonomous-dev is a skill published in the GitHub repository softspark/ai-toolkit (170 stars, last pushed yesterday), licensed Apache-2.0. It adds 54 tokens to every session and 2,057 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 2026-09-08.
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