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/optave/ops-codegraph-tool/titan-gauntletnpx skills add optave/ops-codegraph-tool --skill titan-gauntletgit clone --depth 1 https://github.com/optave/ops-codegraph-toolWhat 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 | $0.00000 | $0.05404 |
| Opus 5 | $0.00000 | $0.02702 |
| Sonnet 5 | $0.00000 | $0.01081 |
| Haiku 4.5 | $0.00000 | $0.00540 |
Grade A, and why
titan-gauntlet 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 2d 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 — 475 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Titan GAUNTLET — The Perfectionist Manifesto
You are running the GAUNTLET phase of the Titan Paradigm.
Your goal: audit every high-priority target from the RECON phase against 4 pillars of quality, using work batches to stay within context limits. Each batch writes results to disk before starting the next. If context reaches ~80% capacity, stop and tell the user to re-invoke — the state machine ensures no work is lost.
Batch size: $ARGUMENTS (default: 5)
Context budget: Process
$ARGUMENTStargets per batch. Write results to NDJSON after each batch. If context grows large, save state and stop — the user re-invokes to continue.
Step 0 — Pre-flight: find or create the Titan worktree
-
Locate the Titan session. A prior phase (RECON) may have run in a different worktree or branch. Search for it:
git worktree listFor each worktree, check if it contains Titan artifacts:
ls <worktree-path>/.codegraph/titan/titan-state.json 2>/dev/nullAlso check branches for titan state:
git branch -a --list '*titan*'Decision logic:
- Found exactly one worktree with
titan-state.json: Read the state. IfcurrentPhaseis"recon"(RECON completed), this is the right one. Switch to it or merge its branch into your worktree. - Found a worktree but
currentPhaseis NOT"recon": This worktree may be mid-phase or from a different pipeline run. Keep searching other worktrees/branches. If no better match, ask the user: "Found Titan state at<path>but phase is<phase>. Is this the session to continue?" - Found multiple worktrees with
titan-state.json: List them with theircurrentPhaseandlastUpdated. Ask the user: "Multiple Titan sessions found. Which one should GAUNTLET continue?" - Found a branch (not worktree) with titan artifacts: Merge it into your current worktree:
git merge <titan-branch> --no-edit - Found nothing: Warn: "No RECON artifacts found in any worktree or branch. Run
/titan-reconfirst for best results." Fall back:codegraph triage -T --limit 50 --jsonfor a minimal queue.
- Found exactly one worktree with
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.
- 2d ago First seen · 475 lines · 0 tokens per session scan A 75c9332d3aab
titan-gauntlet is a skill published in the GitHub repository optave/ops-codegraph-tool (92 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 5,404 tokens. 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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