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 aAAaqwq/AGI-Super-Team --skill agent-patternsgit clone --depth 1 https://github.com/aAAaqwq/AGI-Super-TeamWrote 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/aaaaqwq/agi-super-team/agent-patterns)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/agent-patterns"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/agent-patterns/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/aaaaqwq/agi-super-team/agent-patterns"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/agent-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Memory Poisoning · line 45 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
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 | $0.00054 | $0.00462 |
| Opus 5.5 | $0.00022 | $0.00185 |
| Sonnet 5.5 | $0.00011 | $0.00092 |
| Haiku 4.5 | $0.00005 | $0.00046 |
Grade A, and why
agent-patterns 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 1mo 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.
What it actually says
Agent Patterns
Coordinate multi-agent workflows using structured communication protocols. Covers spawn requests, status reports, and inter-agent messaging within the sprint system.
Spawn Request Format
When launching a parallel agent, use this structure:
## SPAWN REQUEST
- **Agent ID**: <unique-id>
- **Role**: <role-name>
- **Task**: <one-line description>
- **Context**: <relevant files or state>
- **Expected Output**: <deliverable format>
- **Timeout**: <max duration>
Agent Report Format
Each agent reports back using:
## AGENT REPORT
- **Agent ID**: <id>
- **Status**: completed | failed | blocked
- **Summary**: <one-line result>
- **Output**: <deliverable or file path>
- **Issues**: <blockers or warnings, if any>
- **Duration**: <time taken>
Coordination Workflow
- Define tasks — break work into independent units suitable for parallel execution
- Spawn agents — send SPAWN REQUEST for each task with clear context
- Monitor status — track agent reports as they complete
- Handle failures — retry failed agents or reassign blocked tasks
- Merge results — combine agent outputs into final deliverable, resolving conflicts
Communication Rules
- Agents communicate through structured reports, not free-form text
- Each message includes agent ID for traceability
- Blocked agents must report immediately rather than waiting silently
- The coordinator agent reviews all reports before merging
Error Handling
See references/errors.md for common failure modes and recovery steps.
Examples
See references/examples.md for complete spawn-and-report workflows.
What ships with it
3 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.
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.
- 1mo ago First seen · 64 lines · 54 tokens per session scan A 1800313fbfac
agent-patterns is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (110 stars, last pushed yesterday), licensed MIT. It adds 54 tokens to every session and 462 once invoked, about $0.0002 per session on Opus 5.5. 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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Use when filing a new Codewhale GitHub issue: turn a bug or idea into a well-formed, actionable issue with repro, acceptance criteria, labels, and milestone.
gh-treasure-hunt
Hunt the issue/PR queue for highest value-over-risk wins: clean focused community PRs, already-implemented issues to close, safe quick-fixes.
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Review a connected Paperclip team's agents, tasks, blockers and pending approvals when the user asks for a team summary or what needs attention.