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/hyperb1iss/hyperskills/implementnpx skills add hyperb1iss/hyperskills --skill implementgit clone --depth 1 https://github.com/hyperb1iss/hyperskillsWhat 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 | $0.00069 | $0.05951 |
| Opus 5 | $0.00034 | $0.02975 |
| Sonnet 5 | $0.00014 | $0.01190 |
| Haiku 4.5 | $0.00007 | $0.00595 |
Grade A, and why
implement 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 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.
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 — 402 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implementation
Verification-driven coding with tight feedback loops. Distilled from 21,321 tracked operations across 64+ projects, 612 debugging sessions, and ~600 transcribed working sessions from the Apr-Jul 2026 corpus. These are the patterns that consistently ship working code.
Core insight: Verify in tight loops, roughly every 2-3 edits. 73% of fixes go unverified across the dataset, the single biggest quality gap. And proof lives where the artifact is consumed, not where it was produced: green producer gates are necessary, never sufficient.
How to read this skill: the loop and the heuristics below are calibrated for non-trivial implementation work. Trivial fixes (config, typo, single-line) shouldn't drag through five phases. Use judgment, scale planning to scope, and skip what doesn't apply. The Code Discipline section is principles that bias toward caution; for one-line changes, just make the change.
The Loop
Implementation work composes from five things that must all be true by the time a chunk ships. Not a fixed order; the graph below shows the natural dependencies and the loop-backs that are routine in practice.
digraph implement {
rankdir=LR;
node [shape=box];
"ORIENT" [style=filled, fillcolor="#e8e8ff"];
"PLAN" [style=filled, fillcolor="#fff8e0"];
"IMPLEMENT" [style=filled, fillcolor="#ffe8e8"];
"VERIFY" [style=filled, fillcolor="#e8ffe8"];
"COMMIT" [style=filled, fillcolor="#e8e8ff"];
"ORIENT" -> "PLAN";
"PLAN" -> "IMPLEMENT";
"IMPLEMENT" -> "VERIFY";
"VERIFY" -> "IMPLEMENT" [label="fix", style=dashed];
"VERIFY" -> "COMMIT" [label="pass"];
"COMMIT" -> "IMPLEMENT" [label="next chunk", style=dashed];
}
- Oriented. Existing code is read before anything gets touched.
Grep → Read → Readis the dominant opening across the dataset. Sessions that read 10+ files before the first edit require fewer fix iterations downstream. Blind changes are the most expensive way to start. Before creating any new structure (module, config surface, CLI group, error type), locate the nearest in-repo exemplar and clone its shape; the repo usually solved this kind of thing once already.
What ships with it
2 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.
- 2d ago First seen · 402 lines · 69 tokens per session scan A be0454479dab
implement is a skill published in the GitHub repository hyperb1iss/hyperskills (31 stars, last pushed 6d ago), licensed MIT. It adds 69 tokens to every session and 5,951 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.
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