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 bgauryy/octocode --skill octocode-skillsgit clone --depth 1 https://github.com/bgauryy/octocodeWrote 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/bgauryy/octocode/octocode-skills)<a href="https://agentmods.dev/skills/bgauryy/octocode/octocode-skills"><img src="https://agentmods.dev/badge/skills/bgauryy/octocode/octocode-skills/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/bgauryy/octocode/octocode-skills"><img src="https://agentmods.dev/badge/skills/bgauryy/octocode/octocode-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00065 | $0.01038 |
| Opus 5 | $0.00032 | $0.00519 |
| Sonnet 5 | $0.00013 | $0.00208 |
| Haiku 4.5 | $0.00006 | $0.00104 |
Grade A, and why
octocode-skills 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 13d 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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Octocode Skills
Operate on standalone Agent Skill folders: SKILL.md plus optional references, scripts, and assets.
Flow: UNDERSTAND → DISCOVER → INSPECT → JUDGE → RECOMMEND → USER GATE → ACT → CLEANUP → REVIEW → VERIFY.
Lobby rules
SKILL.mdowns workflows, hard gates, and routes; each reference owns one concept and never restates the flow.- The lobby lists every reference and every script with when and how to use it, plus the workflows — no chunk is discoverable only by opening another file.
- MUST read and navigate between routed reference files to understand the complete flow; this skill is intentionally simplified into reference units for efficiency, including reference-to-reference handoffs.
- Inspect the real
SKILL.mdbefore quoting, judging, or installing; identify candidates by path and gate every write. - Stop when one fit is clear, two High candidates need a winner, three angles add nothing, or user/auth approval is pending.
- Ship a standalone folder with one owner per concept; prune dead or duplicated material before done. Assume no sibling skill is installed: name a sibling to load, never depend on its files.
Smart routes — load only what the current step needs
- When discovering, load
references/search-playbook.md; choose a source withreferences/discovery-surfaces.md, parse manifests withreferences/discovery-manifests.md, and recover withreferences/recovery.md— search broadly enough without inventing candidates. - When judging, load
references/quality-rubric.mdfor content fit andreferences/quality-signals.mdfor adoption/recency; when recommending, present throughreferences/output-format.md— rank evidence, not popularity alone. - When designing structure, load
references/skill-anatomy.md; write withreferences/skill-authoring.md, extract deterministic work withreferences/skill-scripts.md, and tune activation withreferences/description-tuning.md— keep the lobby lean and triggers strong. - When improving, load
references/skill-improve.md; choose review/refactor mode withreferences/self-improvement.md, clean withreferences/skill-cleanup.md, and usereferences/improve-loop.mdonly ifoctocode-graph-evalis unavailable — preserve intent and require measurable acceptance. - Before done, load
references/skill-review.md; interpret findings withreferences/skill-review-rules.md— enforce structure, navigation (lobby shows every chunk, routes state when/why, chunks declare entry and next hop, flow phases routed), prose, and standalone-folder gates. - When reviewing lifecycle automation, load
references/hooks.md; when adding it, loadreferences/hooks-add.mdand useassets/hooks/— map the correct host event and avoid silent no-ops. - When installing, load
references/install-gates.md, thenreferences/install-destinations.md; remote sources usereferences/fetch-remote.md, local creation usesreferences/create-local-skill.md, and vendor links usereferences/skill-sync.md— secure approval, destination, and provenance before writes. - When evidence needs code/package/repository research, load
references/octocode.md— delegate research mechanics instead of duplicating them. - When tracing source provenance, load
references/references.md; when authoring a source appendix, start fromreferences/references-template.md— keep claims auditable without bloating instructions.
What ships with it
35 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.
- assets/hooks/example-hook-brain.mjs 2.0 KB runs code
- assets/hooks/example-hook.sh 875 B runs code
- README.md 1.7 KB
- references/create-local-skill.md 1.1 KB
- references/description-tuning.md 1.4 KB
- references/discovery-manifests.md 1.6 KB
- references/discovery-surfaces.md 1.7 KB
- references/fetch-remote.md 1.6 KB
- references/hooks-add.md 1.8 KB
- references/hooks.md 1.7 KB
- references/improve-loop.md 633 B
- references/install-destinations.md 1.8 KB
- references/install-gates.md 1.7 KB
- references/octocode.md 1.5 KB
- references/output-format.md 1.4 KB
- references/quality-rubric.md 1.3 KB
- references/quality-signals.md 1.3 KB
- references/recovery.md 1.3 KB
- references/references-template.md 671 B
- references/references.md 1.0 KB
- references/search-playbook.md 1.7 KB
- references/self-improvement.md 1.2 KB
- references/skill-anatomy.md 3.0 KB
- references/skill-authoring.md 1.5 KB
- references/skill-cleanup.md 2.0 KB
- references/skill-improve.md 2.0 KB
- references/skill-review-rules.md 3.3 KB
- references/skill-review.md 2.4 KB
- references/skill-scripts.md 1.2 KB
- references/skill-sync.md 1.5 KB
- scripts/hooks/example-hook.sh 875 B runs code
- scripts/hooks/README.md 73 B
- scripts/skill-lint.mjs 49 B runs code
- scripts/skill-review.mjs 12 KB runs code
- scripts/skill-sync.mjs 16 KB runs code
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.
- 13d ago First seen · 43 lines · 65 tokens per session scan A f7d3a8087d4b
octocode-skills is a skill published in the GitHub repository bgauryy/octocode (932 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 1,038 once invoked, about $0.0003 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 2026-08-30.
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