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 automateyournetwork/netclaw --skill gait-session-trackinggit clone --depth 1 https://github.com/automateyournetwork/netclawWrote 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/automateyournetwork/netclaw/gait-session-tracking)<a href="https://agentmods.dev/skills/automateyournetwork/netclaw/gait-session-tracking"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/gait-session-tracking/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/automateyournetwork/netclaw/gait-session-tracking"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/gait-session-tracking.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 | $0.00062 | $0.02013 |
| Opus 5 | $0.00031 | $0.01007 |
| Sonnet 5 | $0.00012 | $0.00403 |
| Haiku 4.5 | $0.00006 | $0.00201 |
Grade A, and why
gait-session-tracking 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 5d 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GAIT Session Tracking
This skill is mandatory. Every NetClaw session MUST begin with gait_branch and end with gait_log.
How to Call the Tools
The GAIT MCP server provides 9 tools. Call them via mcp-call:
Check Repository Status
python3 $MCP_CALL "python3 -u $GAIT_MCP_SCRIPT" gait_status '{}'
Returns current branch, uncommitted changes, and repository state.
Initialize a New GAIT Repository
python3 $MCP_CALL "python3 -u $GAIT_MCP_SCRIPT" gait_init '{}'
Creates a new GAIT repository if one does not already exist. Run this once during initial NetClaw setup.
Create a New Branch (SESSION START)
python3 $MCP_CALL "python3 -u $GAIT_MCP_SCRIPT" gait_branch '{"branch_name":"health-check-r1-2026-02-21"}'
Every session begins here. Use a descriptive branch name that includes the action type, target device(s), and date. Examples:
health-check-r1-2026-02-21ospf-troubleshoot-core-2026-02-21config-deploy-acl-update-2026-02-21netbox-reconcile-site-hq-2026-02-21security-audit-dmz-2026-02-21
Switch to an Existing Branch
python3 $MCP_CALL "python3 -u $GAIT_MCP_SCRIPT" gait_checkout '{"branch_name":"health-check-r1-2026-02-21"}'
Use this to resume a previous session or switch context between parallel investigations.
Record an AI Turn (PRIMARY RECORDING TOOL)
python3 $MCP_CALL "python3 -u $GAIT_MCP_SCRIPT" gait_record_turn '{"prompt":"User asked to check CPU on R1","response":"Ran show processes cpu sorted. CPU 5-min avg: 12%. Status: HEALTHY.","artifacts":["show_proc_cpu_r1.txt"]}'
Record a turn after every significant action. Each turn captures:
- prompt: What was asked or what triggered the action
- response: What data was collected and what the result was
- artifacts: List of files produced (optional)
View Commit History (SESSION END)
python3 $MCP_CALL "python3 -u $GAIT_MCP_SCRIPT" gait_log '{}'
Every session ends here. Display the full audit log before concluding. This provides the user with a complete record of everything that happened.
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.
- 5d ago First seen · 183 lines · 62 tokens per session scan A 35f58860bf7b
gait-session-tracking is a skill published in the GitHub repository automateyournetwork/netclaw (651 stars, last pushed 2d ago), licensed Apache-2.0. It adds 62 tokens to every session and 2,013 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 2026-09-03.
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