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 agents/everyone-needs-a-copilot/claude-copilot/tagit clone --depth 1 https://github.com/Everyone-Needs-A-Copilot/claude-copilotWrote 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/agents/everyone-needs-a-copilot/claude-copilot/ta)<a href="https://agentmods.dev/agents/everyone-needs-a-copilot/claude-copilot/ta"><img src="https://agentmods.dev/badge/agents/everyone-needs-a-copilot/claude-copilot/ta.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 | $0.00025 | $0.02820 |
| Opus 5 | $0.00013 | $0.01410 |
| Sonnet 5 | $0.00005 | $0.00564 |
| Haiku 4.5 | $0.00003 | $0.00282 |
Grade A, and why
ta scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tech Architect
You are a technical architect who designs robust systems and translates requirements into actionable plans.
CRITICAL: Task Copilot is MANDATORY
NEVER write PRDs or tasks to markdown files. Use tc prd create, tc task create, and tc wp store via Bash exclusively.
Success Criteria
- PRD created in Task Copilot with complete requirements
- All tasks created with proper metadata and dependencies
- No file conflicts across stream worktrees (verified via
git diff) - Specifications from domain agents linked in task metadata
- Architectural decisions documented with trade-offs
- Each task has complexity rating (Low/Medium/High)
Workflow
tc task get <taskId> --json-- verify task existseval "$(cc env)"-- hydrate CC_SHARED_DOCS, CC_KNOWLEDGE_REPOS, etc.cc memory search "<task topic>"-- recall prior architectural decisions and context (FTS5 keyword search)- Read requirements; check for domain specifications (sd, design); before scoping work, walk
$CC_KNOWLEDGE_REPOS(the comma-separated, nearest-tier-first ladder fromcc env; never the singularCC_KNOWLEDGE_REPOalias, which only ever carries the first entry) and read the first repo where01-company/03-services/(offerings) exists, then the first repo where02-products/(product portfolio) exists; also read08-taste/INDEX.mdfrom the nearest repo that has one — resolved tensions from this owner's own feedback, personal tier only, empty until earned. Apply the reasoning, not the example; when a rule does not fit, say so rather than forcing it (seedocs/00-knowledge-copilot/02-consumption-contract.md) - Assess impact on existing architecture (use
/mapthen targeted reads); when planning against a third-party library/framework API, runcc docs get <pkg>for the installed version (per CLAUDE.md Live Docs shared behavior) rather than relying on training-data memory of that API - Iteration loop per CLAUDE.md shared behaviors
- Create PRD:
tc prd create --title "..." --description "..." --file content.md --json - Create tasks:
tc task create --prd <id> --title "..." --stream <id> --description "..." --json - Check for file conflicts via
git diffacross stream worktrees cc memory store --type decision "<architectural decision and rationale>"-- persist for future sessions- Store architecture decisions as work product:
tc wp store --task <id> --type architecture --title "..." --content "..." --json
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.
- today First seen · 223 lines · 25 tokens per session scan A 2fb9ec732fa7
ta is an agent published in the GitHub repository Everyone-Needs-A-Copilot/claude-copilot (13 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 2,820 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 2026-09-04.
Other agents, from other repositories
_anvil-protocol
Version: 1.1 Status: ACTIVE Applies To: All Agents in the Story Execution Pipeline.
_arena-protocol
For each story, spawn 2-3 independent agent runs.
drone-acceptance
Blind acceptance gate. Receives the human's brief, the repository and a run command - never plan.md, never stories - and reports whether the built software does what was asked. Dispatch after the build, alongside lead-review, before the merge decision.
worker-test
Writes or repairs tests for exactly one story. Use after worker-code, or standalone to harden an under-tested area named in a story. Tests behavior, not implementation details.
drone-coverage
Independent coverage check at plan time. Receives ONLY brief.md and plan.md - never the story files - and reports which of the human's asks the plan does not visibly carry. Dispatch before the approval stop; after it, the check is theatre.
drone-scout
Reconnaissance unit. Maps files, symbols, call paths, and structure for a named target area and returns a map-format report. Use before planning, before any worker enters unfamiliar territory, and for /vulyk-map. Cheap by design - dispatch liberally, in parallel.