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 seeker71/Coherence-Network --skill walk-g1-g7git clone --depth 1 https://github.com/seeker71/Coherence-NetworkWrote 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/seeker71/coherence-network/walk-g1-g7)<a href="https://agentmods.dev/skills/seeker71/coherence-network/walk-g1-g7"><img src="https://agentmods.dev/badge/skills/seeker71/coherence-network/walk-g1-g7/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/seeker71/coherence-network/walk-g1-g7"><img src="https://agentmods.dev/badge/skills/seeker71/coherence-network/walk-g1-g7.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 | $0.00051 | $0.00396 |
| Opus 5.5 | $0.00020 | $0.00158 |
| Sonnet 5.5 | $0.00010 | $0.00079 |
| Haiku 4.5 | $0.00005 | $0.00040 |
Grade A, and why
walk-g1-g7 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.
What it actually says
Native development walk
Read the current repository AGENTS.md, kernel NORTH_STAR.md,
docs/local-agent-goal.form and HOMECOMING.md. If the request names an
older G1–G7 milestone, locate its present owner and observed floor before
choosing work.
The loop
- Ask the native body for the relevant goal, source and existing observation.
- Choose a bounded gap whose original intent, inputs, owner and effects are clear.
- Use the highest fitting Form/BML grammar and the current native coding or care path. Keep an encountered repair in the context that found it.
- Observe the changed claim on fkwu. Reuse proof whose source and inputs hold.
- Carry the verified lesson into its next use; land through the repository's current delivery flow.
An explicitly requested native-only experiment measures what the native lane can do end to end. Report operator or rented contributions separately. Keep the exact failure and available continuation when that lane cannot yet finish.
The receipt
Name the source, operation, result and limits. Distinguish generated code, execution, structural checks, answer quality and a person's experience. Record actual native and rented use; unknown usage stays unknown. Retain learning examples only within their authorized content, destination and retention scope.
The current kernel is fkwu and its JIT. Historical compiler routes and four-runtime comparisons remain history; current source and observations establish the next choice.
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 Changed · -2 lines · -132 tokens per session 6c5bec89c4e1
- 1mo ago First seen · 45 lines · 183 tokens per session scan A 0d34c6ea5c3e
walk-g1-g7 is a skill published in the GitHub repository seeker71/Coherence-Network (3 stars, last pushed today), licensed Apache-2.0. It adds 51 tokens to every session and 396 once invoked, about $0.0002 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 2026-08-31.
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