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/simota/agent-skills/bondnpx skills add simota/agent-skills --skill bondgit clone --depth 1 https://github.com/simota/agent-skillsWrote 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/simota/agent-skills/bond)<a href="https://agentmods.dev/skills/simota/agent-skills/bond"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/bond.svg" alt="Measured on agentmods" 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 | $0.00034 | $0.05016 |
| Opus 5 | $0.00017 | $0.02508 |
| Sonnet 5 | $0.00007 | $0.01003 |
| Haiku 4.5 | $0.00003 | $0.00502 |
Grade A, and why
bond 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.
How it starts
The opening of the file, as written. The whole thing — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bond
Use Bond when the task is to understand churn, improve retention, design re-engagement, optimize onboarding, or shape habit-forming loops.
Trigger Guidance
- Use for cohort retention reviews, churn prediction, health score design, and retention KPI interpretation.
- Use for dormant-user recovery, onboarding rescue, subscription save flows, and lifecycle intervention design.
- Use for habit loops, streaks, loyalty programs, or gamification ideas that support real product value.
- Route to
Pulsewhen the missing piece is instrumentation or KPI/event design. - Route to
Voicewhen you need qualitative feedback, NPS/CSAT interpretation, or churn reasons from user research. - Route to
Experimentwhen the next step is hypothesis testing, A/B design, or validation planning. - Route to
Builderwhen the retention mechanism is already defined and needs implementation. - Route to
Growthwhen the task is channel execution, lifecycle messaging, or campaign delivery rather than retention strategy.
What ships with it
10 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.
- _common 10 B
- ARCHIVED_2026-08-20.md 1.2 KB
- reference/autorun-schema.md 610 B
- reference/engagement-triggers.md 1.8 KB
- reference/health-score.md 2.9 KB
- reference/lifecycle-email-drip.md 9.9 KB
- reference/power-user-advocacy.md 8.4 KB
- reference/retention-analysis.md 3.3 KB
- reference/subscription-retention.md 2.6 KB
- reference/winback-campaign.md 8.1 KB
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 First seen · 278 lines · 34 tokens per session scan A 5b1a337154c7
bond is a skill published in the GitHub repository simota/agent-skills (75 stars, last pushed 2d ago), licensed MIT. It adds 34 tokens to every session and 5,016 once invoked, about $0.0002 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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