Borrowing it
Nothing to install: this file belongs to suuus/ape-context. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/suuus/ape-context/main/.github/skills/context-feedback/SKILL.mdgit clone --depth 1 https://github.com/suuus/ape-contextWrote 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/suuus/ape-context/context-feedback)<a href="https://agentmods.dev/skills/suuus/ape-context/context-feedback"><img src="https://agentmods.dev/badge/skills/suuus/ape-context/context-feedback/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/suuus/ape-context/context-feedback"><img src="https://agentmods.dev/badge/skills/suuus/ape-context/context-feedback.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 | $0.00063 | $0.00499 |
| Opus 5.5 | $0.00025 | $0.00200 |
| Sonnet 5.5 | $0.00013 | $0.00100 |
| Haiku 4.5 | $0.00006 | $0.00050 |
Grade A, and why
context-feedback 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 1mo 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.
What it actually says
- Load state; malformed data blocks.
- Draft
.github/context-report.mdwith tools, Intent, Healthcheck, ADRP/ASRP,CAFE(S), ratification, and gaps. Replace secrets with[REDACTED]; never write unsanitized output. Run:
python3 <context_artifacts.py> sanitize \
--input <draft> \
--output .github/context-report.md \
--mcp-config .mcp.json
- Capture AERP records: healthcheck
observation, qualityassessment, ratificationapproval, finalizationoutcome. Runaerp new, bind decisions withaerp bind, bind Structure withaerp bind-structure, thenaerp validateandaerp verify. Store under.github/evidence/context-bootstrap/; persistcontext_evidence. Preserve failed, skipped, and inconclusive results. - Validate and name MCP mismatches, changelog, quality, ratification, ADRP imports, ASRP duties, AERP bindings/bytes, counts, and paths.
- List issues; ask before fixes. Route stale gates to their owning phase.
- Follow-up requires confirmation. Name both paths:
declines: skipandconfirms: create issue. - Confirm commits. Stage only
.mcp.json,.github/copilot-instructions.md,.github/context-report.md,.github/intent-changelog.md,.github/context-ratification.md, decisions, structures, manifest, and Evidence. Usechore: configure enterprise context layer via context-wizard. Decline meansdo not commit. Never push without separatepush permission. - Remove draft; report validation, paths, and bindings.
Always name the persisted Evidence key literally as
context_evidence.
What ships with it
8 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.
- evals/eval.yaml 989 B
- evals/tasks/commit-boundaries.yaml 1.9 KB
- evals/tasks/consistency-mismatch.yaml 1023 B
- evals/tasks/deterministic-sanitizer.yaml 745 B
- evals/tasks/evidence-closure.yaml 864 B
- evals/tasks/follow-up-paths.yaml 1.8 KB
- evals/tasks/no-credential-leakage.yaml 2.0 KB
- evals/tasks/report-generation.yaml 3.0 KB
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.
- 1mo ago Changed · -118 lines · +46 tokens per session a951af28831f
- 2mo ago First seen · 163 lines · 17 tokens per session scan A 1622d1402aff
context-feedback is a skill published in the GitHub repository suuus/ape-context (2 stars, last pushed 1mo ago), licensed MIT. It adds 63 tokens to every session and 499 once invoked, about $0.0003 per session on Opus 5.5. 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.
Other skills, from other repositories
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…
playwright-cli
Automate browser interactions, test web pages and work with Playwright tests.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.