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 mr-shaper/keel-harness --skill oodcgit clone --depth 1 https://github.com/mr-shaper/keel-harnessWrote 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/mr-shaper/keel-harness/oodc)<a href="https://agentmods.dev/skills/mr-shaper/keel-harness/oodc"><img src="https://agentmods.dev/badge/skills/mr-shaper/keel-harness/oodc/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/mr-shaper/keel-harness/oodc"><img src="https://agentmods.dev/badge/skills/mr-shaper/keel-harness/oodc.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00110 | $0.01361 |
| Opus 5.5 | $0.00044 | $0.00544 |
| Sonnet 5.5 | $0.00022 | $0.00272 |
| Haiku 4.5 | $0.00011 | $0.00136 |
Grade B, and why
oodc scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Enumerates other installed skillsmediumAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
3. `Bash: ls ~/.claude/skills/shelf/ | head -20` How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OODC — Observe → Orient → Decide → Create
KB: python3 ~/.claude/plugins/tacit-kb/scripts/kb.py
Slow-loop: .oodc-state-{project} blocks Write/Edit until CREATE. Read ~/.claude/workflows/oodc-loop.md.
Mode
Ask user: "Fast or slow?"
- Slow: new domain / upstream / "deep research". Run:
Bash: echo -e "step=OBSERVE\nproject={name}\nstarted=$(date -u +%FT%TZ)" > ~/.claude/.oodc-state-{name} - Fast: familiar domain. No state file.
OBSERVE
Tool routing: web-access=GitHub / bird=X / notebooklm=NLM. Details: references/observe-protocol.md.
Slow: 3 parallel Agents. NLM: notebook → ≥30 sources → 6 Q&A.
Fast: Run these commands:
Bash: python3 ~/.claude/plugins/tacit-kb/scripts/kb.py wakeup --tokens 400Bash: python3 ~/.claude/plugins/tacit-kb/scripts/kb.py query "{project_keywords}" --domain {domain} --top 3(requirestacit-kbplugin — optional)Bash: ls ~/.claude/skills/shelf/ | head -20- Read related local doc directories
NLM answers only. Down → [⚠️ non-NLM].
Required Output [OBSERVE_RESULT]:
github: {findings} | x: {insights} | nlm: {Q&A} | local: {assets} | source_count: N
Done = source_count ≥ 3 (fast) / ≥ 20 (slow). Each field: concrete finding, not "no results".
Empty field (slow) → do not proceed. Slow: Bash: perl -pi -e 's/step=.*/step=ORIENT/' ~/.claude/.oodc-state-{project}
ORIENT
See references/orient-playbook.md.
- Assumptions: 3 × (text / evidence / counter / confidence)
- Experts: Use Skill tool — NOT text mention, TOOL CALL.
Run:
Skill tool, skill name = "{perspective-name}"(e.g. feynman-perspective). Cap: 4. Fallback if Skill fails:Bash: head -40 ~/.claude/skills/{name}/SKILL.md+[⚠️ fallback] - PUA: Run:
Skill tool, skill name = "pua:p10"— apply three questions.
Required Output [ORIENT_VERDICT]:
assumptions: [...] | experts_invoked: [Skill IDs] | pua: flavor/pressure/redlines/switch | pipeline_phases: [...] | dominant: ... | minority: ... | recommendation: ... | confidence: H/M/L
What ships with it
4 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.
- 2mo ago First seen · 95 lines · 110 tokens per session scan B 1ae7a298147a
oodc is a skill published in the GitHub repository mr-shaper/keel-harness (5 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 110 tokens to every session and 1,361 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it B with 1 finding (enumerates other installed skills). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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