research-notes

research-notes is a skill for Claude Code, Codex from Roshu18/bearstrike-ai. It costs 20 tokens per session (506 once invoked), scanned A, original, MIT.

A set of practical notes for planning and triaging bug-bounty work. A bug bounty is a programme where security researchers report vulnerabilities in software or websites.

In plain words
What is it for?
Use it to plan reconnaissance, choose endpoint and parameter checks, test account boundaries, investigate authentication and upload handling, and organise expensive security tools as asynchronous jobs.
Why use it?
It helps focus testing on common high-impact problems, such as access-control mistakes, server-side request forgery, exposed internal data and stored cross-site scripting, while keeping early investigation low-noise.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan reconnaissance, choose endpoint and parameter checks, test account boundaries, investigate authentication and upload handling, and organise expensive security tools as asynchronous jobs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/roshu18/bearstrike-ai/research-notes
Install

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.

Any agent
npx skills add Roshu18/bearstrike-ai --skill research-notes
Clone the repo
git clone --depth 1 https://github.com/Roshu18/bearstrike-ai

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for research-notes

README.md
[![agentmods](https://agentmods.dev/badge/skills/roshu18/bearstrike-ai/research-notes.svg)](https://agentmods.dev/skills/roshu18/bearstrike-ai/research-notes)
Your own site
<a href="https://agentmods.dev/skills/roshu18/bearstrike-ai/research-notes"><img src="https://agentmods.dev/badge/skills/roshu18/bearstrike-ai/research-notes.svg" alt="Measured on agentmods" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 506 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00020 $0.00506
Opus 5 $0.00010 $0.00253
Sonnet 5 $0.00004 $0.00101
Haiku 4.5 $0.00002 $0.00051

Measured 7d ago against content hash 5cd9fdf97eb8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

research-notes 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 7d 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.

skills/research-notes/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

research-notes

Use this skill to guide planning and triage decisions before running tools.

Last-30-day high-signal patterns

  • Access-control flaws remain top impact class (IDOR/BOLA, role boundary bypass).
  • API auth/session confusion appears in GraphQL and invite/workspace workflows.
  • SSRF remains high-impact where URL fetch parameters exist (swaggerUrl-style handlers).
  • Misconfiguration leaks (Prometheus /metrics, debug/internal endpoints) provide chainable recon intel.
  • Upload handling gaps (SVG script payloads) continue to produce stored XSS.

Frequent endpoint and parameter patterns

  • Endpoint families: /api/v1/, /api/auth, /api/user, /internal, /graphql, /metrics, /verify-otp.
  • Sensitive parameters: user_id, account_id, id, redirect_url, swaggerUrl.
  • Trust-boundary headers: custom session blobs, X-Original-URL, X-Forwarded-*.

Operational guidance for MCP AI

  • Start with low-noise recon and endpoint intelligence.
  • Prioritize account-boundary tests before aggressive scanning.
  • Keep one active hypothesis at a time until impact is confirmed.
  • Use async jobs for expensive tools to avoid MCP timeout loops.
  • Prefer context-aware payload sets (top 10 per class), not brute-force payload dumps.

Priority bug classes

  • IDOR/BOLA and role boundary bypass
  • auth/session handling flaws and OTP-flow bypass
  • API overexposure and mass assignment patterns
  • SSRF/open redirect request-routing issues
  • high-confidence misconfiguration exposures
  1. Map live hosts and key endpoints.
  2. Score endpoints and test high-priority routes first.
  3. Execute access-control and auth boundary checks.
  4. Run constrained vulnerability templates and targeted payloads.
  5. Escalate to deeper scans only when signals are strong.

Public references

Read the full file on GitHub · 56 lines

Changes

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.

  1. 7d ago First seen · 56 lines · 20 tokens per session scan A 5cd9fdf97eb8

Subscribe to this mod's changes

research-notes is a skill published in the GitHub repository Roshu18/bearstrike-ai (4 stars, last pushed 5mo ago), licensed MIT. It adds 20 tokens to every session and 506 once invoked, about $0.0001 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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