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 naimkatiman/continuous-improvement --skill goal-monitorgit clone --depth 1 https://github.com/naimkatiman/continuous-improvementWrote 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/naimkatiman/continuous-improvement/goal-monitor)<a href="https://agentmods.dev/skills/naimkatiman/continuous-improvement/goal-monitor"><img src="https://agentmods.dev/badge/skills/naimkatiman/continuous-improvement/goal-monitor/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/naimkatiman/continuous-improvement/goal-monitor"><img src="https://agentmods.dev/badge/skills/naimkatiman/continuous-improvement/goal-monitor.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 | $0.00067 | $0.00936 |
| Opus 5 | $0.00034 | $0.00468 |
| Sonnet 5 | $0.00013 | $0.00187 |
| Haiku 4.5 | $0.00007 | $0.00094 |
Grade A, and why
goal-monitor 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 12d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Goal Monitor — Continuous Drift Detection
A "Clear Goal" discipline: a stated goal is only useful if something keeps checking the work against it. task_plan.md captures the goal once; this skill turns it into a recurring check so a session that has quietly wandered off into unrelated files surfaces the drift while there is still budget to course-correct.
When to Activate
- After a long stretch of edits, before claiming progress on the original goal.
- When you suspect the work has sprawled across unrelated areas of the codebase.
- Before a checkpoint or handoff, to confirm the session stayed on its stated goal.
- Any time the goal in
task_plan.mdand the actual tool activity might have diverged.
Core Concept
Law 2 says the plan is sacred. But "sacred" is hollow if nothing measures adherence. Goal Monitor scores the most recent observations against the goal and reports one of three states:
ON GOAL — recent activity relates to the goal (score >= threshold)
DRIFT — most recent activity is unrelated, or touched forbidden paths
NO DATA — not enough observations in the window yet
The score is the fraction of recent observations whose tool name, input, or output references a goal keyword — or whose edited path falls under a goal-scope glob.
Goal Source
The check reads, in order:
task_plan.mdin the project root (seeded byci_plan_init//planning-with-files).~/.claude/instincts/<project-hash>/goal.md(fallback for non-repo sessions).- An explicit
goal_fileargument, if provided.
The plan needs a ## Goal section. Two optional sections sharpen the signal:
## Goal
Implement OAuth login with JWT session tokens for the auth service.
## Goal Keywords
oauth, jwt, login, session
## Goal Scope
paths: src/auth/**, test/auth/**
forbidden: src/marketing/**
When ## Goal Keywords is absent, keywords are auto-extracted from the goal prose (stopwords and short tokens dropped). ## Goal Scope is optional: paths globs count as on-goal matches; forbidden globs are a hard drift signal even when keywords also match.
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.
- 12d ago First seen · 82 lines · 67 tokens per session scan A db1c7cb5d022
goal-monitor is a skill published in the GitHub repository naimkatiman/continuous-improvement (7 stars, last pushed 5d ago), licensed MIT. It adds 67 tokens to every session and 936 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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