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/akaszubski/autonomous-dev/api-integration-patternsnpx skills add akaszubski/autonomous-dev --skill api-integration-patternsgit clone --depth 1 https://github.com/akaszubski/autonomous-devWhat 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 | $0.00074 | $0.02281 |
| Opus 5 | $0.00037 | $0.01141 |
| Sonnet 5 | $0.00015 | $0.00456 |
| Haiku 4.5 | $0.00007 | $0.00228 |
Grade A, and why
api-integration-patterns scanned grade A with 1 finding 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
) -> subprocess.CompletedProcess: The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
6 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.
- examples/github-issue-example.py 1.7 KB runs code
- examples/github-pr-example.py 1.6 KB runs code
- examples/safe-subprocess-example.py 2.5 KB runs code
- templates/github-api-template.py 3.7 KB runs code
- templates/retry-decorator-template.py 2.0 KB runs code
- templates/subprocess-executor-template.py 2.6 KB runs code
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 · 389 lines · 74 tokens per session scan A a49d00c14ffc
api-integration-patterns is a skill published in the GitHub repository akaszubski/autonomous-dev (33 stars, last pushed 2d ago), with no licence file. It adds 74 tokens to every session and 2,281 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
implement
Research, implement, test, document, and review a Fallow feature, fix, refactor, or repository improvement. Use when asked to build or change Fallow.
open-draft-pr
Prepare local changes for review with an intentional commit, push, and ready PR for fallow. Use when the user wants to publish work, open a PR, or turn local changes into a reviewable branch.
browser-smoke-review
Use browser automation to review docs pages, preview URLs, rendered output, or web-facing fallow surfaces. Use when the user wants a screenshot-based review, browser smoke test, docs site check, or preview deployment inspection.
debug-false-positive
Diagnose and fix a Fallow false positive or false negative through extraction, resolution, graph, analysis, reporting, and real-consumer verification.
panel-review-loop
Iteratively review and improve a Fallow user-facing surface across representative real-world projects until the panel has no blocking concerns.
panel-review
Review a Fallow design, plan, workflow, CLI surface, documentation architecture, or user experience with representative end-user and domain-expert perspectives before implementation.