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/kirilxd/swe-interview-coach/behavioral-frameworksnpx skills add kirilxd/swe-interview-coach --skill behavioral-frameworksgit clone --depth 1 https://github.com/kirilxd/swe-interview-coachWrote 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/kirilxd/swe-interview-coach/behavioral-frameworks)<a href="https://agentmods.dev/skills/kirilxd/swe-interview-coach/behavioral-frameworks"><img src="https://agentmods.dev/badge/skills/kirilxd/swe-interview-coach/behavioral-frameworks.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 5.1 | $0.00067 | $0.02004 |
| Opus 5 | $0.00034 | $0.01002 |
| Sonnet 5 | $0.00013 | $0.00401 |
| Haiku 4.5 | $0.00007 | $0.00200 |
Grade A, and why
behavioral-frameworks 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 6d 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Behavioral Frameworks
STAR (Situation, Task, Action, Result)
Primary structure for behavioral answers. Every story should map to exactly one S, T, A, R.
Situation
The context that made the problem worth solving. Sets stakes without over-explaining.
- Name the product/system/team and its scale (users, dollar impact, team size).
- Surface the constraint or threat that created urgency — why did this matter now.
- Keep it to 2-3 sentences; interviewers need orientation, not a history lesson.
Weak: "We had a frontend codebase that was getting kind of hard to work with and everyone was writing their own components."
Strong: "At Acme, our five frontend teams were duplicating UI components across three apps. QA bounce-backs on UI-heavy features ran at ~40%, and each sprint lost roughly two engineer-days to inconsistent implementations."
Task
The specific outcome you were accountable for — your mandate, not the team's.
- State your ownership explicitly: "I was responsible for…" not "the team needed to…"
- Distinguish your goal from the broader business goal (they can differ).
- Name any constraints: timeline, budget, staffing, political opposition.
Weak: "We decided to build a shared component library so things would be more consistent."
Strong: "I was tasked with designing and driving adoption of a shared component library with a hard deadline of Q2 — without a formal mandate, meaning I needed buy-in from five team leads who had no obligation to participate."
Action
The decisions you made and the steps you took. This is the longest element (~50% of the answer).
- Use "I" — own the decisions. Reserve "we" for work the team genuinely did autonomously.
- Sequence decisions, not just activities: what did you decide, and why did you choose that path over alternatives?
- Include at least one obstacle and how you navigated it.
Weak: "We built the library, documented it, and did roadshows to get people to use it. We also added linting rules and set up CI checks."
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.
- 6d ago First seen · 144 lines · 67 tokens per session scan A 6b76e602503a
behavioral-frameworks is a skill published in the GitHub repository kirilxd/swe-interview-coach (80 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 2,004 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 2026-08-30.
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