Borrowing it
Nothing to install: this file belongs to mag123c/toktrack. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mag123c/toktrack/main/.claude/skills/implement/SKILL.mdgit clone --depth 1 https://github.com/mag123c/toktrackWrote 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/mag123c/toktrack/implement)<a href="https://agentmods.dev/skills/mag123c/toktrack/implement"><img src="https://agentmods.dev/badge/skills/mag123c/toktrack/implement/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/mag123c/toktrack/implement"><img src="https://agentmods.dev/badge/skills/mag123c/toktrack/implement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00018 | $0.00395 |
| Opus 5.5 | $0.00007 | $0.00158 |
| Sonnet 5.5 | $0.00004 | $0.00079 |
| Haiku 4.5 | $0.00002 | $0.00040 |
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 1mo 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
Implement
Flow
Analysis → Gate pre-run → TDD(RED→GREEN→REFACTOR) → /verify → /review → /wrap
Execution
-
Analysis: Review plan, identify affected modules
-
Gate pre-run (MUST — before coding) Run the PLAN's
[unverified-gate: probe=…]/ Phase 0 probes before RED. Fail → halt + report (don't build on a falsified assumption). Map Acceptance/DoD → RED tests; mark unverifiable as[unverified-gate]to carry to verify/wrap. Detail →references/gates.md(tag vocab:../clarify/references/provenance.md).Rust-specific probes:
cargo check— whether it compilescargo test -- --list— verify test targets existmake check— unified fmt + clippy + test gate
-
TDD Cycle:
- RED: Write failing test first
- GREEN: Minimal code to pass
- REFACTOR: Clean up (keep tests passing)
-
Auto-call
/verify: On implementation complete -
Auto-call
/review: On verify pass -
Auto-call
/wrap: On review PASS
Commands
cargo test
cargo clippy -- -D warnings
cargo fmt --check
Rules
- No implementation without test
- On verify fail → fix and retry
- On review FAIL → fix and retry
- Complete full chain without stopping
What ships with it
1 file 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.
- 1mo ago First seen · 48 lines · 18 tokens per session scan A 6622adc37d53
implement is a skill published in the GitHub repository mag123c/toktrack (196 stars, last pushed yesterday), licensed MIT. It adds 18 tokens to every session and 395 once invoked, about $0.0001 per session on Opus 5.5. 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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