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/onewave-ai/open-agent-stack/unsticknpx skills add OneWave-AI/open-agent-stack --skill unstickgit clone --depth 1 https://github.com/OneWave-AI/open-agent-stackWrote 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/onewave-ai/open-agent-stack/unstick)<a href="https://agentmods.dev/skills/onewave-ai/open-agent-stack/unstick"><img src="https://agentmods.dev/badge/skills/onewave-ai/open-agent-stack/unstick.svg" alt="Measured on agentmods" 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 | $0.00060 | $0.00646 |
| Opus 5 | $0.00030 | $0.00323 |
| Sonnet 5 | $0.00012 | $0.00129 |
| Haiku 4.5 | $0.00006 | $0.00065 |
Grade A, and why
unstick 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 4d 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 — 25 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Unstick
The worst hour in vibe coding is the fix spiral: an error appears, a plausible fix gets applied, a different error appears, repeat until the file is unrecognizable and nothing works. The way out is boring and reliable -- find the cause before touching anything.
Workflow
- Get the real error. Not the symptom the user describes -- the actual message and stack. Browser console, terminal output, build log, and the platform's runtime logs if it is only broken in production. Read the whole trace including the first line, which is the one people skip.
- Reproduce on demand. Name the exact steps that trigger it, every time. A bug you cannot reproduce cannot be verified as fixed, and "seems better now" is how bugs come back. If it only breaks in production, that is a finding: the difference is env vars, build mode, or data.
- Bisect the change. Something worked before.
git logandgit diffsince the last known-good state, then narrow: which change, which file, which line. If nothing was committed, the last thing edited is the suspect. Do not skip to a fix because the cause "seems obvious" -- obvious causes are wrong often enough to cost the whole hour. - Explain it before fixing it. State the cause in one sentence a non-programmer would follow: "the page asks for the user's name before the user has loaded, so it reads a property of nothing." If that sentence cannot be written, the cause has not been found yet -- keep reading, add a log, check the actual value rather than the assumed one.
- Fix the cause, then verify. One change, aimed at the cause. Rerun the reproduction steps. Then check the two nearest flows for collateral damage, and run the production build. Revert every experimental change made while investigating -- stray debugging edits become tomorrow's mystery.
Rules
- One hypothesis at a time. Changing three things and seeing it work teaches nothing and leaves two unexplained edits in the codebase.
- Never silence an error to make it go away -- deleted
try/catchbodies,anycasts, and disabled typechecks convert a loud bug into a silent one. - Suspect the boundaries first: env vars missing in the deployed environment, a null that the types promised was not null, stale cache, wrong ID, a schema that no longer matches the code.
- If two fix attempts fail, stop and restate the problem from the top rather than trying a third -- repeated failure means the model of the bug is wrong, not that the fix was close.
- Say plainly when the cause is not found. "It stopped happening" is not a fix, and pretending otherwise costs more later.
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.
- 4d ago First seen · 25 lines · 60 tokens per session scan A 76f41d198e4d
unstick is a skill published in the GitHub repository OneWave-AI/open-agent-stack (2 stars, last pushed 24d ago), licensed MIT. It adds 60 tokens to every session and 646 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 2026-08-31.
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