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/23ag1/completely/controlnpx skills add 23ag1/completely --skill controlgit clone --depth 1 https://github.com/23ag1/completelyWhat 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 | $0.00092 | $0.00366 |
| Opus 5 | $0.00046 | $0.00183 |
| Sonnet 5 | $0.00018 | $0.00073 |
| Haiku 4.5 | $0.00009 | $0.00037 |
Grade A, and why
completely:control 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 yesterday.
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
Execute the single next bd ready task — exactly ONE — through the full task engine
(core/task-engine.md), in this session, with maximum observation and control.
Follow steps 0–10 of the engine for that one task: claim → understand (spawn gsd-codebase-mapper /
gsd-phase-researcher as needed) → plan-check (goal-backward) → decompose & spawn subagents in
parallel where write-zones are disjoint (serialize with bd merge-slot) → TDD + craft skills →
cmpl check + cmpl lint → spawn code-reviewer + security-reviewer → gsd-verifier + the
default-FAIL evaluator → gsd-debugger on repeated failure → LAND: bd comment evidence → git commit
(confirm it landed) → ONLY THEN bd close if the evaluator ACCEPTED.
Show me each subagent's result. PAUSE at any human gate (checkpoint) and at STOP-conditions. After the one task lands, STOP and report — I decide whether to run the next.
Identical to one iteration of /completely:auto — same full engine — just observed and
one-at-a-time. Nothing is reduced.
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.
- yesterday First seen · 22 lines · 92 tokens per session scan A 28998a60a1d6
completely:control is a skill published in the GitHub repository 23ag1/completely (5 stars, last pushed 2mo ago), licensed MIT. It adds 92 tokens to every session and 366 once invoked, about $0.0005 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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repo-genome
7-section readiness scorecard for a LOCAL repo. Reports repo type + agent topology + MCP risk + test confidence + release readiness + recommended harness plan + scorecard. Exit 0 ready, 1 needs-work, 2 blocked. --json for the 6-field scorecard, --bundle for the ADR-031 schema-1 envelope.